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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.
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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.
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cloudsecurityalliance.org
article
https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intellig…
[](https://www.linkedin.com/groups/1864210/profile)[](https://twitter.com/intent/tweet?text=Quantum%20Artificial%20Intelligence:%20Exploring%20the%20Relationship%20Between%20AI%20and%20Quantum%20Computing&url=)[](https://www.facebook.com/csacloudfiles). ## [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)Introduction. ## [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)Quantum Computing 101. ## [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)Artificial Intelligence 101. ## [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)How AI Can Help Quantum. ## [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)How Quantum Can Help AI. ## [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)Quantum AI Use Cases. ## [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)Quantum AI Ethics. ## [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)Conclusion. ## [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)Answering Your Follow-Up Questions. [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing). ##### [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)Can quantum computers run without being at 0 kelvin? ##### [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)How can the integration of 6G technology and quantum computers revolutionize data transmission and processing? ##### [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)In your view, how do quantum transformers impact the environment? ##### [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)Which markets are most likely to adopt quantum machines? ##### [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)You mentioned asymmetric encryption. ##### [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)What is the current state of quantum computing? CSA's [Quantum-Safe Security Working Group](https://cloudsecurityalliance.org/research/working-groups/quantum-safe-security), where Mehak is a co-Chair, estimates quantum computers showing a quantum advantage in 5-6 years. ##### [](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing)How can companies develop a robust process for implementing quantum encryption methods to stay ahead of potential vulnerabilities? CSA has a Quantum-Safe Security Working Group that has [guidance](https://cloudsecurityalliance.org/research/artifacts?term=quantum-safe-security) on preparing for quantum computers being readily available. [](https://www.linkedin.com/groups/1864210/profile)[](https://twitter.com/intent/tweet?text=Quantum%20Artificial%20Intelligence:%20Exploring%20the%20Relationship%20Between%20AI%20and%20Quantum%20Computing&url=)[](https://www.facebook.com/csacloudfiles)[](https://www.youtube.com/channel/UCrcG6ZtsBPz3xkUZU6asVhA). [Customize](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing#)[Allow](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing#). [Decline All](https://cloudsecurityalliance.org/blog/2025/01/20/quantum-artificial-intelligence-exploring-the-relationship-between-ai-and-quantum-computing#).
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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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polytechnique-insights.com
article
https://www.polytechnique-insights.com/en/columns/science/quantum-computing-a…
Home / Chroniques / Quantum computing and AI: less compatible than expected? # Quantum computing and AI: less compatible than expected? Assistant Professor of AI and Quantum Physics at Ecole Polytechnique (IP Paris). * There is a belief that quantum computing could revolutionise artificial intelligence and in particular deep learning. * However, quantum computing will not necessarily advance AI because it encounters difficulties in processing information from neural networks and voluminous data. * However, AI machine learning is an essential tool for learning how to design and operate quantum computers today. ## What can be said about the origins behind the belief that quantum computing could revolutionise AI? The idea that quantum computing could boost AI development became more prominent around 2018–19. But every time you run a quantum algorithm the output will be different. ## Does that mean that AI and quantum computing will be distant cousins, with little overlap? AI could also be very complimentary to quantum computing. 2[https://www.openpetition.eu/petition/online/support-the-machine-learning-in-quantum-science-manifesto‑2↑](#note-content-2).
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aws.amazon.com
article
https://aws.amazon.com/what-is/quantum-ai/
# What is Quantum AI? How can AWS support your quantum computing and AI requirements? ## What is Quantum AI? Quantum AI aims to replace the underlying AI infrastructure with quantum computing resources so AI models can process data faster and cost-efficiently. While possibilities are unlimited, it is important to note that quantum AI is still in the research phase, and AI workloads still require traditional computing resources to operate. In contrast, quantum AI uses quantum computing resources based on quantum bits or qubits. Theoretically, quantum AI running on quantum computing resources could solve complex problems beyond the reach of classical AI. Quantum computing’s ability to perform complex probabilistic simulations and optimization tasks at scale can improve AI output quality. As researchers develop algorithms specifically for quantum computers, AI systems could approach learning, reasoning, or pattern recognition in fundamentally different ways. However, quantum AI models use quantum algorithms that operate on qubits. ## How can AWS support your quantum computing and AI requirements?
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reddit.com
article
https://www.reddit.com/r/ArtificialInteligence/comments/1nn3qig/explain_to_me…
So the importance isn't that quantum computing magically makes AI “smarter.” It's that it could open doors classical hardware will never reach—
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arxiv.org
article
https://arxiv.org/html/2505.23860v3
* Liu _et al._ (2024a)↑C.-Y.Liu, E.-J.Kuo, C.-H.A.Lin, J.G.Young, Y.-J.Chang, M.-H.Hsieh, and H.-S.Goan,“Quantum-train: Rethinking hybrid quantum-classical machine learning in the model compression perspective,” (2024a),[arXiv:2405.11304](http://arxiv.org/abs/2405.11304) . * Liu _et al._ (2024b)↑J.Liu, M.Liu, J.-P.Liu, Z.Ye, Y.Wang, Y.Alexeev, J.Eisert, and L.Jiang,“Towards provably efficient quantum algorithms for large-scale machine-learning models,”[Nature Comm.15,434 (2024b)](http://dx.doi.org/10.1038/s41467-023-43957-x). * Caro _et al._ (2022)↑M.C.Caro, H.-Y.Huang, M.Cerezo, K.Sharma, A.Sornborger, L.Cincio, and P.J.Coles,“Generalization in quantum machine learning from few training data,”[Nature Comm.13,4919 (2022)](http://dx.doi.org/10.1038/s41467-022-32550-3). * Huang _et al._ (2021)↑H.-Y.Huang, M.Broughton, M.Mohseni, R.Babbush, S.Boixo, H.Neven, and J.R.McClean,“Power of data in quantum machine learning,”[Nature Comm.12,2631 (2021)](http://dx.doi.org//10.1038/s41467-021-22539-9). * Pirnay _et al._ (2024)↑N.Pirnay, V.Ulitzsch, F.Wilde, J.Eisert, and J.-P.Seifert,“An in-principle super-polynomial quantum advantage for approximating combinatorial optimization problems via computational learning theory,”[Sci. Adv.10,eadj5170 (2024)](http://dx.doi.org/10.1126/sciadv.adj5170). * Larocca _et al._ (2025)↑M.Larocca, S.Thanasilp, S.Wang, K.Sharma, J.Biamonte, P.J.Coles, L.Cincio, J.R.McClean, Z.Holmes, and M.Cerezo,“Barren plateaus in variational quantum computing,”[Nature Rev. Phys.7,174–189 (2025)](http://dx.doi.org/10.1038/s42254-025-00813-9). * Severin _et al._ (2024)↑B.Severin, D.T.Lennon, L.C.Camenzind, F.Vigneau, F.Fedele, D.Jirovec, A.Ballabio, D.Chrastina, G.Isella, M.de Kruijf, M.J.Carballido, S.Svab, A.V.Kuhlmann, S.Geyer, F.N.M.Froning, H.Moon, M.A.Osborne, D.Sejdinovic, G.Katsaros, D.M.Zumbühl, G.A.D.Briggs, and N.Ares,“Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning,”[Sci. Rep.14,17281 (2024)](http://dx.doi.org/10.1038/s41598-024-67787-z).