Quantum artificial intelligence
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Quantum Intelligence (QI) is an interdisciplinary field that focuses on building quantum algorithms for improving computational tasks within artificial intelligence, including sub-fields like machine learning.[1] The high performance of quantum computing allows AI to run more efficiently than classical computing.
Quantum mechanics phenomena, superposition and entanglement, are allowing quantum computing to perform computations which are much more efficient than classical AI algorithms used in computer vision, natural language processing and robotics.[2] The entire concept of quantum-enhanced AI algorithms is still in conceptual research domain. Building on recent theoretical proposals, initial practical studies suggest that these concepts have the possibility to be implemented in the laboratory, under strictly controlled conditions.[3]
Quantum Computing
Artificial Intelligence
References
- ↑ Dilmegani, Cem (2020-07-07). "Quantum Artificial Intelligence in 2021: in-Depth Guide" (in en-US). https://research.aimultiple.com/quantum-ai/.
- ↑ Sgarbas, Kyriakos N. (2007-05-23). "The Road to Quantum Artificial Intelligence". arXiv:0705.3360 [cs.AI].
- ↑ Dunjko, Vedran; Briegel, Hans J. (June 2018). "Machine learning & artificial intelligence in the quantum domain: a review of recent progress". Reports on Progress in Physics 81 (7): 074001. doi:10.1088/1361-6633/aab406. ISSN 0034-4885. PMID 29504942. Bibcode: 2018RPPh...81g4001D.
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