The Scientific Sessions at the International Conference on Quantum Computing are designed to showcase cutting-edge research, technological innovations, and future trends shaping the evolution of quantum computing and intelligent computing systems across academia and industry. These sessions cover a broad spectrum of topics, including quantum algorithms, quantum hardware and architectures, quantum machine learning, hybrid classical–quantum systems, quantum error mitigation, quantum networking, and real-world industrial applications. Each session reflects current global research priorities and emerging industry needs, delivering evidence-based insights with strong scientific and practical relevance. Renowned quantum physicists, computer scientists, AI and machine learning researchers, engineers, industry experts, and academicians from around the world will come together to present scientific breakthroughs, technical advancements, and application-driven case studies that demonstrate the transformative potential of quantum technologies.
The program features keynote lectures, plenary sessions, oral and poster presentations, panel discussions, and interactive forums. These sessions are designed to promote interdisciplinary collaboration, foster innovation, and encourage meaningful knowledge exchange between academia, research institutions, and industry. Participants will have opportunities to present their research, receive expert feedback, explore next-generation quantum technologies, and build valuable international networks.Designed for researchers, professionals, entrepreneurs, students, and industry leaders, the Scientific Sessions aim to accelerate innovation, scalability, and real-world impact, contributing to the advancement of quantum computing and intelligent systems worldwide.
Quantum supremacy and benchmarking are essential for validating the performance and real-world potential of quantum computers beyond classical limits. This session focuses on benchmarking methodologies, performance metrics, and experimental demonstrations that assess quantum advantage on NISQ devices. Topics include quantum volume, randomized benchmarking, error characterization, hardware comparisons, and scalability across leading quantum platforms. Emphasis is placed on rigorous validation, reproducibility, and standardization to support credible and application-relevant quantum computing progress.
We invite researchers and industry professionals to submit one-page abstracts and contribute to advancing reliable and scalable quantum benchmarking at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Variational Quantum Algorithms (VQAs), including the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA), are among the most promising approaches for near-term quantum computing. This session focuses on algorithm design, optimization strategies, and practical implementations of VQAs on NISQ devices. Topics include hybrid quantum–classical workflows, ansatz design, parameter optimization, error mitigation, and applications in chemistry, materials science, and combinatorial optimization. Emphasis is placed on performance evaluation, scalability, and bridging theoretical advances with real-world use cases.
We invite researchers and practitioners to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum Machine Learning (QML) and hybrid quantum–classical AI approaches combine the strengths of quantum computing with advanced machine learning to tackle complex data-driven problems. This session focuses on quantum-enhanced learning models, hybrid architectures, and algorithmic frameworks that leverage near-term quantum devices. Topics include quantum neural networks, variational learning, kernel methods, data encoding strategies, and quantum acceleration of optimization and inference. Emphasis is placed on practical implementations, benchmarking against classical models, and real-world applications across science, engineering, and industry.
We invite researchers and practitioners to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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AI-enhanced quantum control systems leverage machine learning and artificial intelligence to optimize the manipulation, stability, and performance of quantum devices. This session focuses on the use of AI-driven techniques for quantum control, calibration, error suppression, and adaptive feedback in quantum hardware. Topics include reinforcement learning for pulse shaping, autonomous calibration, noise characterization, real-time control, and closed-loop optimization of qubits and quantum gates. Emphasis is placed on improving fidelity, robustness, and scalability of quantum systems, bridging theoretical control strategies with experimental implementations on NISQ and emerging quantum platforms.
We invite researchers and practitioners to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Noisy Intermediate-Scale Quantum (NISQ) computing represents the current era of quantum technology, characterized by limited qubit counts and significant noise and error rates. This session focuses on algorithms, architectures, and techniques tailored to extract practical value from NISQ devices. Topics include noise-aware algorithm design, error mitigation strategies, benchmarking and validation, hybrid quantum–classical workflows, and near-term applications in optimization, simulation, and machine learning. Emphasis is placed on experimental results, performance evaluation, and pathways to improve reliability and scalability, bridging theoretical advances with real-world NISQ implementations.
We invite researchers and industry professionals to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Superconducting qubits are among the leading platforms for building scalable quantum computers, offering fast gate operations and strong integration with existing fabrication technologies. This session focuses on advances in superconducting qubit design, coherence improvement, cryogenic control, and scalable system architectures. Topics include qubit fabrication, circuit quantum electrodynamics, error sources and mitigation, control electronics, interconnects, and large-scale integration strategies. Emphasis is placed on achieving high-fidelity operations, modular and fault-tolerant architectures, and bridging laboratory prototypes with scalable, industry-ready quantum processors.
We invite researchers and practitioners to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Trapped ion and photonic platforms offer powerful and complementary approaches to quantum information processing, combining high-fidelity operations with unique advantages in coherence, connectivity, and scalability. This session focuses on advances in trapped ion systems and photonic quantum processors, including qubit control, entanglement generation, error mitigation, and scalable architectures. Topics include ion trapping technologies, laser and optical control, integrated photonics, quantum networking, and hybrid architectures. Emphasis is placed on experimental demonstrations, system integration, and pathways toward scalable and fault-tolerant quantum processors.
We invite researchers and industry professionals to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Topological qubits aim to achieve intrinsic error resistance by protecting quantum information through topological states of matter. This session focuses on advances in topological materials, Majorana-based qubits, protected architectures, and hardware designs that enhance robustness against noise and decoherence. Emphasis is placed on scalability, experimental validation, and pathways toward fault-tolerant quantum computing.
Researchers are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum software frameworks and compilers are essential for translating high-level algorithms into executable instructions on quantum hardware. This session focuses on programming models, quantum compilers, optimization techniques, and software stacks that enable efficient, hardware-aware quantum execution. Topics include circuit optimization, resource estimation, error-aware compilation, cross-platform frameworks, and integration with classical workflows. Emphasis is placed on improving performance, portability, and scalability across NISQ and emerging fault-tolerant quantum systems.
Researchers and practitioners are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum simulation offers powerful tools for understanding and designing materials at the atomic and molecular level, surpassing the capabilities of classical computation. This session focuses on quantum algorithms, hybrid workflows, and hardware implementations for modeling electronic structure, chemical reactions, and novel materials. Topics include variational methods, error mitigation, molecular and solid-state simulations, and applications in energy, catalysis, and advanced materials design. Emphasis is placed on bridging theoretical predictions with experimental validation and accelerating materials discovery using quantum technologies.
Researchers and practitioners are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum computing is transforming chemistry and drug discovery by enabling accurate simulations of molecular structures, reactions, and interactions beyond classical capabilities. This session focuses on quantum algorithms, hybrid workflows, and computational frameworks for molecular modeling, reaction dynamics, and drug-target interactions. Topics include variational quantum algorithms, electronic structure calculations, optimization of molecular properties, and applications in pharmaceuticals, materials, and catalysis. Emphasis is placed on bridging quantum simulations with experimental validation and accelerating the design of novel molecules and therapeutics.
Researchers, chemists, computational scientists, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations in quantum-enabled chemistry and next-generation drug design.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum optimization leverages quantum algorithms to solve complex industrial problems that are intractable for classical methods. This session focuses on applications of quantum optimization in logistics, supply chain management, finance, energy, manufacturing, and smart infrastructure. Topics include Quantum Approximate Optimization Algorithm (QAOA), hybrid quantum–classical optimization, scheduling, resource allocation, and real-world case studies. Emphasis is placed on practical implementation, performance evaluation, and translating quantum advantage into tangible industrial benefits.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance the application of quantum optimization in real-world industries.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum cryptography and post-quantum security aim to secure information against both current and future quantum-enabled threats. This session focuses on quantum key distribution (QKD), quantum-resistant cryptographic algorithms, and secure communication protocols. Topics include quantum encryption methods, protocol design, implementation challenges, cryptanalysis, and integration with classical security systems. Emphasis is placed on building robust, scalable, and future-proof security solutions in the era of quantum computing.
Researchers, cybersecurity experts, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations in quantum-safe security and cryptographic technologies.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum networking and distributed quantum systems enable long-distance quantum communication, entanglement sharing, and collaborative quantum computing across multiple nodes. This session focuses on the development of quantum networks, quantum repeaters, entanglement distribution, and distributed quantum algorithms. Topics include quantum internet architectures, network protocols, hybrid classical–quantum systems, and scalable interconnections for computation and communication. Emphasis is placed on experimental demonstrations, reliability, and practical deployment strategies for next-generation quantum networks.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance the design and implementation of distributed quantum technologies.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Cloud-based quantum computing services provide remote access to quantum processors, enabling researchers and organizations to run quantum algorithms without on-site hardware. This session focuses on cloud quantum platforms, software interfaces, hybrid workflows, and scalable access models. Topics include multi-user access, performance benchmarking, resource allocation, integration with classical cloud infrastructure, and real-world applications across science, finance, and industry. Emphasis is placed on usability, accessibility, security, and accelerating adoption of quantum technologies through cloud delivery.
Researchers, developers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations and best practices in cloud-enabled quantum computing.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum error mitigation and fault-tolerant techniques are critical for reliable quantum computation on noisy hardware. This session focuses on strategies to detect, correct, and suppress errors in quantum circuits, including error-correcting codes, mitigation protocols, and fault-tolerant architectures. Topics include logical qubits, surface codes, error characterization, adaptive control, and hybrid quantum–classical approaches. Emphasis is placed on improving computation fidelity, scalability, and bridging near-term NISQ devices with long-term fault-tolerant quantum systems.
We invite researchers and industry professionals to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Noise-resilient quantum circuits are designed to maintain high performance and reliability despite the inherent errors in NISQ devices. This session focuses on circuit design strategies, error mitigation techniques, and adaptive protocols that improve robustness against decoherence and gate errors. Topics include optimized gate sequences, noise-aware compilation, hybrid error suppression methods, and practical implementations on current quantum hardware. Emphasis is placed on enhancing computational fidelity, scalability, and bridging experimental designs with real-world applications.
Researchers, engineers, and practitioners are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations in building reliable and high-performance quantum circuits.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum benchmarking and performance metrics are essential for evaluating, comparing, and improving quantum devices and algorithms. This session focuses on methodologies to measure quantum processor performance, reliability, and scalability, including quantum volume, randomized benchmarking, gate fidelity, and circuit-level metrics. Topics include error characterization, reproducibility, hardware comparison, and practical implications for algorithm execution. Emphasis is placed on establishing standardized, transparent, and application-relevant benchmarks to guide the development of robust quantum systems.
We invite researchers and industry professionals to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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AI-powered quantum algorithm development leverages machine learning and artificial intelligence to design, optimize, and accelerate quantum algorithms for near-term and future quantum devices. This session focuses on AI-driven approaches for circuit design, parameter optimization, error mitigation, and hybrid quantum–classical workflows. Topics include reinforcement learning for quantum circuits, automated algorithm discovery, performance prediction, and application-specific optimization in chemistry, optimization, and machine learning. Emphasis is placed on enhancing efficiency, scalability, and practical deployment of quantum algorithms.
Researchers, computer scientists, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations in AI-assisted quantum algorithm development.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Machine learning for quantum system control applies AI techniques to optimize, stabilize, and manage quantum devices. This session focuses on using reinforcement learning, neural networks, and adaptive algorithms to improve qubit calibration, gate fidelity, error suppression, and real-time control. Topics include autonomous quantum feedback, noise-aware control strategies, pulse shaping, and hybrid quantum–classical optimization. Emphasis is placed on enhancing performance, robustness, and scalability of quantum systems for practical applications.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance AI-driven control strategies for reliable quantum technologies.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum neural networks (QNNs) and quantum AI models combine quantum computing with artificial intelligence to enhance learning, optimization, and pattern recognition. This session focuses on the design, training, and implementation of QNNs, variational circuits, and hybrid quantum–classical AI models. Topics include data encoding, parameter optimization, noise-aware training, and applications in chemistry, finance, healthcare, and complex system modeling. Emphasis is placed on scalability, performance benchmarking, and bridging theoretical models with practical, real-world applications.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum reinforcement learning (QRL) leverages quantum computing to enhance learning, optimization, and decision-making processes in complex environments. This session focuses on quantum-enhanced algorithms for policy optimization, reward evaluation, and adaptive control in hybrid quantum–classical systems. Topics include quantum Markov decision processes, variational approaches, environment simulation, and real-world applications in robotics, finance, and resource optimization. Emphasis is placed on improving efficiency, scalability, and practical deployment of quantum decision-making models.
Researchers, computer scientists, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance innovations in quantum-enabled learning and decision-making
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Hybrid classical–quantum computing strategies integrate classical computing resources with quantum processors to solve complex problems more efficiently than either system alone. This session focuses on hybrid algorithms, workflow optimization, co-processing techniques, and application-specific implementations. Topics include variational algorithms, quantum-classical optimization loops, resource allocation, and applications in chemistry, finance, machine learning, and materials discovery. Emphasis is placed on practical deployment, performance benchmarking, and bridging near-term quantum devices with classical computational infrastructure.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations in hybrid quantum–classical computing approaches.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum-enhanced big data analytics leverages quantum computing to process, analyze, and extract insights from large and complex datasets more efficiently than classical approaches. This session focuses on quantum algorithms for data mining, pattern recognition, clustering, optimization, and machine learning at scale. Topics include quantum-assisted data processing pipelines, hybrid quantum–classical analytics, and applications in finance, healthcare, logistics, and scientific research. Emphasis is placed on performance improvement, scalability, and translating quantum advantages into actionable insights.
Researchers, data scientists, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance the frontiers of quantum-powered big data analytics.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum computing is transforming finance and optimization by offering faster, more efficient solutions for complex problems that challenge classical methods. This session focuses on quantum algorithms and hybrid approaches for portfolio optimization, risk analysis, derivative pricing, fraud detection, and operational optimization. Topics include QAOA, quantum Monte Carlo methods, quantum machine learning for financial modeling, and practical implementation strategies. Emphasis is placed on scalability, performance benchmarking, and translating quantum advantage into real-world financial and industrial applications.
Researchers, financial engineers, and industry professionals are invited to submit one-page abstracts for presentation
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Translational quantum research bridges fundamental quantum science with practical industry applications, enabling real-world impact across multiple sectors. This session focuses on applying quantum algorithms, devices, and hybrid workflows to solve industrial challenges in healthcare, materials, finance, energy, and logistics. Topics include technology transfer, prototyping, pilot implementations, performance evaluation, and cross-disciplinary collaborations. Emphasis is placed on scalability, practical deployment, and demonstrating tangible benefits of quantum technologies in commercial and societal contexts.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance the translation of quantum innovations into real-world solutions.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Emerging quantum hardware technologies are driving the next generation of quantum computing by exploring novel qubit platforms, architectures, and control systems. This session focuses on innovative hardware approaches, including superconducting, trapped-ion, photonic, topological, and hybrid qubits, as well as scalable device integration and fabrication techniques. Topics include coherence improvement, error mitigation at the hardware level, system architecture, and experimental demonstrations of new quantum technologies. Emphasis is placed on bridging research innovations with practical, scalable, and fault-tolerant quantum systems.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore breakthroughs in next-generation quantum hardware.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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The rise of quantum computing and AI presents unique ethical, legal, and governance challenges that must be addressed to ensure responsible innovation. This session focuses on issues such as data privacy, algorithmic fairness, security, regulatory compliance, and societal impact of quantum-enabled AI systems. Topics include risk assessment, policy frameworks, international standards, accountability in hybrid quantum–classical systems, and strategies for ethical deployment. Emphasis is placed on balancing technological advancement with transparency, trust, and societal benefit.
Join experts to explore frameworks for responsible and governance-conscious quantum AI development.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum computing has the potential to revolutionize intelligent systems by enabling faster, more efficient processing, advanced decision-making, and enhanced machine learning capabilities. This session focuses on integrating quantum computing with AI, robotics, and autonomous systems to create next-generation intelligent technologies. Topics include quantum-enhanced learning, optimization, predictive modeling, hybrid quantum–classical architectures, and real-world applications in healthcare, smart cities, and industrial automation. Emphasis is placed on scalability, performance, and bridging research innovations with practical intelligent system deployment.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations shaping the future of quantum-enabled intelligent systems.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Frontier research in quantum technologies is driving breakthroughs that will define the next era of computing, communication, and sensing. This session focuses on emerging quantum platforms, novel qubit designs, advanced algorithms, and hybrid quantum–classical systems. Topics include fault-tolerant architectures, topological and photonic qubits, scalable hardware integration, and innovative applications across science, industry, and technology. Emphasis is placed on translational research, experimental demonstrations, and pathways toward commercially viable, next-generation quantum solutions.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore breakthroughs shaping the future of quantum technologies.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum supremacy and benchmarking are essential for validating the performance and real-world potential of quantum computers beyond classical limits. This session focuses on benchmarking methodologies, performance metrics, and experimental demonstrations that assess quantum advantage on NISQ devices. Topics include quantum volume, randomized benchmarking, error characterization, hardware comparisons, and scalability across leading quantum platforms. Emphasis is placed on rigorous validation, reproducibility, and standardization to support credible and application-relevant quantum computing progress.
We invite researchers and industry professionals to submit one-page abstracts and contribute to advancing reliable and scalable quantum benchmarking at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Variational Quantum Algorithms (VQAs), including the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA), are among the most promising approaches for near-term quantum computing. This session focuses on algorithm design, optimization strategies, and practical implementations of VQAs on NISQ devices. Topics include hybrid quantum–classical workflows, ansatz design, parameter optimization, error mitigation, and applications in chemistry, materials science, and combinatorial optimization. Emphasis is placed on performance evaluation, scalability, and bridging theoretical advances with real-world use cases.
We invite researchers and practitioners to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum Machine Learning (QML) and hybrid quantum–classical AI approaches combine the strengths of quantum computing with advanced machine learning to tackle complex data-driven problems. This session focuses on quantum-enhanced learning models, hybrid architectures, and algorithmic frameworks that leverage near-term quantum devices. Topics include quantum neural networks, variational learning, kernel methods, data encoding strategies, and quantum acceleration of optimization and inference. Emphasis is placed on practical implementations, benchmarking against classical models, and real-world applications across science, engineering, and industry.
We invite researchers and practitioners to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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AI-enhanced quantum control systems leverage machine learning and artificial intelligence to optimize the manipulation, stability, and performance of quantum devices. This session focuses on the use of AI-driven techniques for quantum control, calibration, error suppression, and adaptive feedback in quantum hardware. Topics include reinforcement learning for pulse shaping, autonomous calibration, noise characterization, real-time control, and closed-loop optimization of qubits and quantum gates. Emphasis is placed on improving fidelity, robustness, and scalability of quantum systems, bridging theoretical control strategies with experimental implementations on NISQ and emerging quantum platforms.
We invite researchers and practitioners to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Noisy Intermediate-Scale Quantum (NISQ) computing represents the current era of quantum technology, characterized by limited qubit counts and significant noise and error rates. This session focuses on algorithms, architectures, and techniques tailored to extract practical value from NISQ devices. Topics include noise-aware algorithm design, error mitigation strategies, benchmarking and validation, hybrid quantum–classical workflows, and near-term applications in optimization, simulation, and machine learning. Emphasis is placed on experimental results, performance evaluation, and pathways to improve reliability and scalability, bridging theoretical advances with real-world NISQ implementations.
We invite researchers and industry professionals to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Superconducting qubits are among the leading platforms for building scalable quantum computers, offering fast gate operations and strong integration with existing fabrication technologies. This session focuses on advances in superconducting qubit design, coherence improvement, cryogenic control, and scalable system architectures. Topics include qubit fabrication, circuit quantum electrodynamics, error sources and mitigation, control electronics, interconnects, and large-scale integration strategies. Emphasis is placed on achieving high-fidelity operations, modular and fault-tolerant architectures, and bridging laboratory prototypes with scalable, industry-ready quantum processors.
We invite researchers and practitioners to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Trapped ion and photonic platforms offer powerful and complementary approaches to quantum information processing, combining high-fidelity operations with unique advantages in coherence, connectivity, and scalability. This session focuses on advances in trapped ion systems and photonic quantum processors, including qubit control, entanglement generation, error mitigation, and scalable architectures. Topics include ion trapping technologies, laser and optical control, integrated photonics, quantum networking, and hybrid architectures. Emphasis is placed on experimental demonstrations, system integration, and pathways toward scalable and fault-tolerant quantum processors.
We invite researchers and industry professionals to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Topological qubits aim to achieve intrinsic error resistance by protecting quantum information through topological states of matter. This session focuses on advances in topological materials, Majorana-based qubits, protected architectures, and hardware designs that enhance robustness against noise and decoherence. Emphasis is placed on scalability, experimental validation, and pathways toward fault-tolerant quantum computing.
Researchers are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum software frameworks and compilers are essential for translating high-level algorithms into executable instructions on quantum hardware. This session focuses on programming models, quantum compilers, optimization techniques, and software stacks that enable efficient, hardware-aware quantum execution. Topics include circuit optimization, resource estimation, error-aware compilation, cross-platform frameworks, and integration with classical workflows. Emphasis is placed on improving performance, portability, and scalability across NISQ and emerging fault-tolerant quantum systems.
Researchers and practitioners are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum simulation offers powerful tools for understanding and designing materials at the atomic and molecular level, surpassing the capabilities of classical computation. This session focuses on quantum algorithms, hybrid workflows, and hardware implementations for modeling electronic structure, chemical reactions, and novel materials. Topics include variational methods, error mitigation, molecular and solid-state simulations, and applications in energy, catalysis, and advanced materials design. Emphasis is placed on bridging theoretical predictions with experimental validation and accelerating materials discovery using quantum technologies.
Researchers and practitioners are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum computing is transforming chemistry and drug discovery by enabling accurate simulations of molecular structures, reactions, and interactions beyond classical capabilities. This session focuses on quantum algorithms, hybrid workflows, and computational frameworks for molecular modeling, reaction dynamics, and drug-target interactions. Topics include variational quantum algorithms, electronic structure calculations, optimization of molecular properties, and applications in pharmaceuticals, materials, and catalysis. Emphasis is placed on bridging quantum simulations with experimental validation and accelerating the design of novel molecules and therapeutics.
Researchers, chemists, computational scientists, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations in quantum-enabled chemistry and next-generation drug design.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum optimization leverages quantum algorithms to solve complex industrial problems that are intractable for classical methods. This session focuses on applications of quantum optimization in logistics, supply chain management, finance, energy, manufacturing, and smart infrastructure. Topics include Quantum Approximate Optimization Algorithm (QAOA), hybrid quantum–classical optimization, scheduling, resource allocation, and real-world case studies. Emphasis is placed on practical implementation, performance evaluation, and translating quantum advantage into tangible industrial benefits.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance the application of quantum optimization in real-world industries.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum cryptography and post-quantum security aim to secure information against both current and future quantum-enabled threats. This session focuses on quantum key distribution (QKD), quantum-resistant cryptographic algorithms, and secure communication protocols. Topics include quantum encryption methods, protocol design, implementation challenges, cryptanalysis, and integration with classical security systems. Emphasis is placed on building robust, scalable, and future-proof security solutions in the era of quantum computing.
Researchers, cybersecurity experts, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations in quantum-safe security and cryptographic technologies.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum networking and distributed quantum systems enable long-distance quantum communication, entanglement sharing, and collaborative quantum computing across multiple nodes. This session focuses on the development of quantum networks, quantum repeaters, entanglement distribution, and distributed quantum algorithms. Topics include quantum internet architectures, network protocols, hybrid classical–quantum systems, and scalable interconnections for computation and communication. Emphasis is placed on experimental demonstrations, reliability, and practical deployment strategies for next-generation quantum networks.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance the design and implementation of distributed quantum technologies.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Cloud-based quantum computing services provide remote access to quantum processors, enabling researchers and organizations to run quantum algorithms without on-site hardware. This session focuses on cloud quantum platforms, software interfaces, hybrid workflows, and scalable access models. Topics include multi-user access, performance benchmarking, resource allocation, integration with classical cloud infrastructure, and real-world applications across science, finance, and industry. Emphasis is placed on usability, accessibility, security, and accelerating adoption of quantum technologies through cloud delivery.
Researchers, developers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations and best practices in cloud-enabled quantum computing.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum error mitigation and fault-tolerant techniques are critical for reliable quantum computation on noisy hardware. This session focuses on strategies to detect, correct, and suppress errors in quantum circuits, including error-correcting codes, mitigation protocols, and fault-tolerant architectures. Topics include logical qubits, surface codes, error characterization, adaptive control, and hybrid quantum–classical approaches. Emphasis is placed on improving computation fidelity, scalability, and bridging near-term NISQ devices with long-term fault-tolerant quantum systems.
We invite researchers and industry professionals to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Noise-resilient quantum circuits are designed to maintain high performance and reliability despite the inherent errors in NISQ devices. This session focuses on circuit design strategies, error mitigation techniques, and adaptive protocols that improve robustness against decoherence and gate errors. Topics include optimized gate sequences, noise-aware compilation, hybrid error suppression methods, and practical implementations on current quantum hardware. Emphasis is placed on enhancing computational fidelity, scalability, and bridging experimental designs with real-world applications.
Researchers, engineers, and practitioners are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations in building reliable and high-performance quantum circuits.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum benchmarking and performance metrics are essential for evaluating, comparing, and improving quantum devices and algorithms. This session focuses on methodologies to measure quantum processor performance, reliability, and scalability, including quantum volume, randomized benchmarking, gate fidelity, and circuit-level metrics. Topics include error characterization, reproducibility, hardware comparison, and practical implications for algorithm execution. Emphasis is placed on establishing standardized, transparent, and application-relevant benchmarks to guide the development of robust quantum systems.
We invite researchers and industry professionals to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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AI-powered quantum algorithm development leverages machine learning and artificial intelligence to design, optimize, and accelerate quantum algorithms for near-term and future quantum devices. This session focuses on AI-driven approaches for circuit design, parameter optimization, error mitigation, and hybrid quantum–classical workflows. Topics include reinforcement learning for quantum circuits, automated algorithm discovery, performance prediction, and application-specific optimization in chemistry, optimization, and machine learning. Emphasis is placed on enhancing efficiency, scalability, and practical deployment of quantum algorithms.
Researchers, computer scientists, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations in AI-assisted quantum algorithm development.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Machine learning for quantum system control applies AI techniques to optimize, stabilize, and manage quantum devices. This session focuses on using reinforcement learning, neural networks, and adaptive algorithms to improve qubit calibration, gate fidelity, error suppression, and real-time control. Topics include autonomous quantum feedback, noise-aware control strategies, pulse shaping, and hybrid quantum–classical optimization. Emphasis is placed on enhancing performance, robustness, and scalability of quantum systems for practical applications.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance AI-driven control strategies for reliable quantum technologies.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum neural networks (QNNs) and quantum AI models combine quantum computing with artificial intelligence to enhance learning, optimization, and pattern recognition. This session focuses on the design, training, and implementation of QNNs, variational circuits, and hybrid quantum–classical AI models. Topics include data encoding, parameter optimization, noise-aware training, and applications in chemistry, finance, healthcare, and complex system modeling. Emphasis is placed on scalability, performance benchmarking, and bridging theoretical models with practical, real-world applications.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum reinforcement learning (QRL) leverages quantum computing to enhance learning, optimization, and decision-making processes in complex environments. This session focuses on quantum-enhanced algorithms for policy optimization, reward evaluation, and adaptive control in hybrid quantum–classical systems. Topics include quantum Markov decision processes, variational approaches, environment simulation, and real-world applications in robotics, finance, and resource optimization. Emphasis is placed on improving efficiency, scalability, and practical deployment of quantum decision-making models.
Researchers, computer scientists, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance innovations in quantum-enabled learning and decision-making
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Hybrid classical–quantum computing strategies integrate classical computing resources with quantum processors to solve complex problems more efficiently than either system alone. This session focuses on hybrid algorithms, workflow optimization, co-processing techniques, and application-specific implementations. Topics include variational algorithms, quantum-classical optimization loops, resource allocation, and applications in chemistry, finance, machine learning, and materials discovery. Emphasis is placed on practical deployment, performance benchmarking, and bridging near-term quantum devices with classical computational infrastructure.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations in hybrid quantum–classical computing approaches.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum-enhanced big data analytics leverages quantum computing to process, analyze, and extract insights from large and complex datasets more efficiently than classical approaches. This session focuses on quantum algorithms for data mining, pattern recognition, clustering, optimization, and machine learning at scale. Topics include quantum-assisted data processing pipelines, hybrid quantum–classical analytics, and applications in finance, healthcare, logistics, and scientific research. Emphasis is placed on performance improvement, scalability, and translating quantum advantages into actionable insights.
Researchers, data scientists, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance the frontiers of quantum-powered big data analytics.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum computing is transforming finance and optimization by offering faster, more efficient solutions for complex problems that challenge classical methods. This session focuses on quantum algorithms and hybrid approaches for portfolio optimization, risk analysis, derivative pricing, fraud detection, and operational optimization. Topics include QAOA, quantum Monte Carlo methods, quantum machine learning for financial modeling, and practical implementation strategies. Emphasis is placed on scalability, performance benchmarking, and translating quantum advantage into real-world financial and industrial applications.
Researchers, financial engineers, and industry professionals are invited to submit one-page abstracts for presentation
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Translational quantum research bridges fundamental quantum science with practical industry applications, enabling real-world impact across multiple sectors. This session focuses on applying quantum algorithms, devices, and hybrid workflows to solve industrial challenges in healthcare, materials, finance, energy, and logistics. Topics include technology transfer, prototyping, pilot implementations, performance evaluation, and cross-disciplinary collaborations. Emphasis is placed on scalability, practical deployment, and demonstrating tangible benefits of quantum technologies in commercial and societal contexts.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to advance the translation of quantum innovations into real-world solutions.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Emerging quantum hardware technologies are driving the next generation of quantum computing by exploring novel qubit platforms, architectures, and control systems. This session focuses on innovative hardware approaches, including superconducting, trapped-ion, photonic, topological, and hybrid qubits, as well as scalable device integration and fabrication techniques. Topics include coherence improvement, error mitigation at the hardware level, system architecture, and experimental demonstrations of new quantum technologies. Emphasis is placed on bridging research innovations with practical, scalable, and fault-tolerant quantum systems.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore breakthroughs in next-generation quantum hardware.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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The rise of quantum computing and AI presents unique ethical, legal, and governance challenges that must be addressed to ensure responsible innovation. This session focuses on issues such as data privacy, algorithmic fairness, security, regulatory compliance, and societal impact of quantum-enabled AI systems. Topics include risk assessment, policy frameworks, international standards, accountability in hybrid quantum–classical systems, and strategies for ethical deployment. Emphasis is placed on balancing technological advancement with transparency, trust, and societal benefit.
Join experts to explore frameworks for responsible and governance-conscious quantum AI development.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Quantum computing has the potential to revolutionize intelligent systems by enabling faster, more efficient processing, advanced decision-making, and enhanced machine learning capabilities. This session focuses on integrating quantum computing with AI, robotics, and autonomous systems to create next-generation intelligent technologies. Topics include quantum-enhanced learning, optimization, predictive modeling, hybrid quantum–classical architectures, and real-world applications in healthcare, smart cities, and industrial automation. Emphasis is placed on scalability, performance, and bridging research innovations with practical intelligent system deployment.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore innovations shaping the future of quantum-enabled intelligent systems.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
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Frontier research in quantum technologies is driving breakthroughs that will define the next era of computing, communication, and sensing. This session focuses on emerging quantum platforms, novel qubit designs, advanced algorithms, and hybrid quantum–classical systems. Topics include fault-tolerant architectures, topological and photonic qubits, scalable hardware integration, and innovative applications across science, industry, and technology. Emphasis is placed on translational research, experimental demonstrations, and pathways toward commercially viable, next-generation quantum solutions.
Researchers, engineers, and industry professionals are invited to submit one-page abstracts for presentation at the International Conference on Quantum Computing, AI and Machine Learning. Join experts to explore breakthroughs shaping the future of quantum technologies.
Relevant Conference: International Conference on Quantum Computing | World Congress on Quantum Computing | International Conference on Quantum Technologies | Quantum Computing Congress | Global Quantum Summit | International Conference on Quantum Information Science | Conference on Quantum Algorithms | Conference on Quantum Computing & Artificial Intelligence | International Conference on Quantum Machine Learning | International Conference on Quantum Physics & Computing | Global Summit on Quantum Technologies & Applications | International Conference on Quantum Engineering
Useful Links: Brochure Download | Abstract Submission | Register Now
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