Quantum Chess AI

Research into AI models and game theory involving extensive form games has been applied to economic models, computer science (Ikeda, K, 2023), and current reinforcement learning models such as AlphaZero. There is potential for advances in AI understanding quantum principles to have the same effect on quantum computing and technology. Quantum Chess is one of the first “quantum extensive form games” which involve the phenomena of superposition, entanglement, and phase (Cantwell, C, 2019). In this article we explore the application of reinforcement learning to the value and policy systems of Monte Carlo Tree Search. We then evaluate the basic understanding of quantum principles by having the AI complete chess puzzles requiring a quantum move solution and recording both the time taken and win rate.