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sciencedirect.com
article
https://www.sciencedirect.com/science/article/pii/S266630742500035X
# Integrating artificial intelligence and quantum computing: A systematic literature review of features and applications. Novel synthesis of 30+ studies detailing the state-of-the-art in the integration of AI and QC, highlighting quantum machine learning, optimization techniques, and sector-specific applications. Insight into practical applications of quantum AI in healthcare, cybersecurity, materials science, finance, and energy systems, emphasizing sectorial opportunities. Quantum Computing (QC) and Artificial Intelligence (AI) have emerged as key technologies in the evolution of Industry 6.0, driving advancements in automation and advanced analytics, and process optimization. Their integration holds the potential to revolutionize sectors such as data science, healthcare, finance, and cybersecurity by enabling faster and more efficient computations through qubits, superposition, and quantum entanglement. This study aims to systematically examine the intersection of quantum computing and artificial intelligence by identifying the key technological features, integration requirements, and sectoral applications that define the current state of the field. The review contributes by mapping existing research, highlighting methodological approaches, and revealing gaps that may guide targeted advancements in hybrid quantum AI systems.
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nature.com
article
https://www.nature.com/articles/s41467-025-65836-3
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lerner.ccf.org
news
https://www.lerner.ccf.org/news/article/?title=+How+quantum+computing+will+af…
Cleveland Clinic researchers are investigating quantum computing’s potential to unlock the capabilities of artificial intelligence as healthcare’s most complicated problems. Quantum computers will eventually be able to solve our most challenging research problems in a fraction of the time it takes our classical computers –beating even the most advanced supercomputers. Cleveland Clinic researchers are currently investigating practical applications and best practices for applying quantum computing to health sciences research through Cleveland Clinic and IBM’s Discovery Accelerator partnership. Quantum computing can potentially enhance AI’s capabilities by removing the limitations of data size, complexity, and the speed of problem solving.”. Researchers are already working on enhancing current AI methods in research by applying quantum computing methods to protein structure prediction. “To advance our knowledge of quantum computing, we are starting with problems we know are inadequately solved using classical computing methods,” says Daniel Blankenberg, PhD, Assistant Staff, Center for Computational Life Sciences.
C
captechu.edu
research
https://www.captechu.edu/blog/supercharging-ai-quantum-computing-look-future
# Supercharging AI with Quantum Computing: A Look into the Future. Quantum computing has the potential to revolutionize various fields, and the intersection of quantum computing and artificial intelligence (AI) holds particular promise. ## Ways Quantum Computing Can Supercharge Artificial Intelligence. Here are eight possible ways Quantum Computing can supercharge AI. Quantum computers have the potential to outperform classical computers in various AI applications due to their unique computational properties. Quantum computers also pose a potential threat to current encryption methods, but they can also be used to enhance security in AI applications. Quantum computers are adept at simulating quantum systems, which could be beneficial for AI applications related to quantum chemistry, materials science, and drug discovery. Quantum computers have the potential to solve problems with significantly fewer computational steps than classical computers. The future of AI is undeniably intertwined with the evolution of quantum computing. As quantum computers continue to advance, they have the potential to supercharge AI capabilities, opening up new frontiers of exploration and discovery.
Q
quera.com
news
https://www.quera.com/blog-posts/applications-of-quantum-computing-for-machin…
# Top Applications Of Quantum Computing for Machine Learning. Machine Learning has two roles within quantum computing. On the receiving side, quantum computers use classical machine learning to optimize hardware operations, control systems, and user interfaces. ## **What is Quantum Machine Learning?**. ## **Quantum Advantage in Machine Learning**. ## **Quantum Machine Learning Applications**. Quantum machine learning (QML) use cases overlap two other major classifications of quantum computing applications: quantum simulation and quantum optimization. And anywhere you find a classical neural network, is a potential application of quantum machine learning, as well:. # Top Applications Of Quantum Computing for Machine Learning. Machine Learning has two roles within quantum computing. ## **What is Quantum Machine Learning?**. ## **Quantum Advantage in Machine Learning**. ## **Quantum Machine Learning Applications**. Quantum machine learning (QML) use cases overlap two other major classifications of quantum computing applications: quantum simulation and quantum optimization. And anywhere you find a classical neural network, is a potential application of quantum machine learning, as well:.
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developer.nvidia.com
article
https://developer.nvidia.com/blog/enabling-quantum-computing-with-ai/
# Enabling Quantum Computing with AI. The advantages of integrating quantum computers with supercomputers are reciprocal, and this tight integration will also enable AI to help solve the most important challenges standing in the way of useful quantum computing. This post explores three key aspects of quantum computing that are supported by AI—the processor, error correction, and algorithms. It also explores some practical considerations for building an infrastructure where AI can most effectively enable quantum computing. The problem is so important that major players from across the quantum computing ecosystem are teaming up to find AI-enabled circuit reduction techniques. ## Explore AI for quantum computing. Effective AI for quantum development requires new tools that foster multidisciplinary collaboration, are highly optimized for each quantum computing task, and take full advantage of the hybrid compute capabilities available within a quantum accelerated supercomputing infrastructure. NVIDIA is developing hardware and software tools that will enable AI for quantum at scales necessary to realize practical quantum accelerated supercomputing.
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quantinuum.com
article
https://www.quantinuum.com/blog/quantum-computers-will-make-ai-better
Quantum computers will drive AI to new heights, enabling better accuracy and therefore better performance, and scalable sustainable growth.
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quantumai.google
article
https://quantumai.google/
# Google Quantum AI. [Skip to main content](https://quantumai.google/#main-content). [](https://quantumai.google/). [Discover](https://quantumai.google/discover/whatisqc). * [What is quantum computing?](https://quantumai.google/discover/whatisqc). * [Educational resources](https://quantumai.google/resources). [Our Work](https://quantumai.google/quantumcomputer). * [Roadmap](https://quantumai.google/roadmap). * [Quantum Computer](https://quantumai.google/quantumcomputer). * [Research Publications](https://quantumai.google/research). * [Open Source Tools](https://quantumai.google/software). * [Cirq Documentation](https://quantumai.google/cirq). [About](https://quantumai.google/team). * [Team](https://quantumai.google/team). * [Lab](https://quantumai.google/lab). [](https://quantumai.google/). * [Discover](https://quantumai.google/discover/whatisqc). * [Our Work](https://quantumai.google/quantumcomputer). * [About](https://quantumai.google/team). * [What is quantum computing?](https://quantumai.google/discover/whatisqc). * [Educational resources](https://quantumai.google/resources). * [Roadmap](https://quantumai.google/roadmap). * [Quantum Computer](https://quantumai.google/quantumcomputer). * [Research Publications](https://quantumai.google/research). * [Open Source Tools](https://quantumai.google/software). * [Cirq Documentation](https://quantumai.google/cirq). * [Team](https://quantumai.google/team). * [Lab](https://quantumai.google/lab). * [Google Quantum AI](https://quantumai.google/). [](https://quantumai.google/#mission). [open_in_new Blog post](https://blog.google/technology/research/quantum-echoes-willow-verifiable-quantum-advantage/)[open_in_new Paper](https://www.nature.com/articles/s41586-025-09526-6)[open_in_new Video](https://youtu.be/mEBCQidaNTQ) . [open_in_new Blog post](https://blog.google/technology/research/google-willow-quantum-chip/)[open_in_new Paper](https://www.nature.com/articles/s41586-024-08449-y)[open_in_new Video](https://www.youtube.com/watch?v=W7ppd_RY-UE)[open_in_new Spec Sheet](https://quantumai.google/static/site-assets/downloads/willow-spec-sheet.pdf) . . [arrow_forward](https://blog.google/technology/research/google-willow-quantum-chip/). . [arrow_forward](https://research.google/blog/making-quantum-error-correction-work/). . [arrow_forward](https://developers.googleblog.com/unlocking-the-potential-of-quantum-computing-a-developers-guide-to-error-correction/). . [arrow_forward](https://research.google/blog/validating-random-circuit-sampling-as-a-benchmark-for-measuring-quantum-progress/). . [arrow_forward](https://coursera.org/learn/quantum-error-correction). . [arrow_forward](https://services.google.com/fh/files/misc/google_quantum_ai_about.pdf). . [arrow_forward](https://quantumai.google/learn/map). . [arrow_forward](https://quantumai.google/learn/lab). [](https://developers.google.com/). * [About Google](https://about.google/). * [Privacy](https://policies.google.com/privacy). * [Terms](https://policies.google.com/terms). * [Terms](https://policies.google.com/terms). * [Privacy](https://policies.google.com/privacy). * [Manage cookies](https://quantumai.google/#).