This paper aims to explore the application of quantum computing in the field of artificial intelligence (AI). The continuous development of AI technology has brought revolutionary changes to various industries, but traditional computers may encounter bottlenecks when facing complex problems. Quantum computing, as an emerging computing paradigm, has the potential to address complex issues. This paper first introduces the fundamentals of AI and quantum computing, then discusses the application cases of quantum computing in AI, including quantum neural networks, quantum optimization algorithms, and quantum reinforcement learning. It also analyzes the current technical challenges and solutions, and prospects the future development direction of quantum computing in the field of AI. Through research in this emerging field, we can better understand and utilize quantum computing technology to promote progress and innovation in the field of AI.
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Kun Shen (2024) studied this question.
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