Quantum circuit architectures via quantum observable Markov decision process planning
Tomoaki Kimura, Kodai Shiba, Chih-Chieh Chen, Masaru Sogabe, Katsuyoshi Sakamoto, Tomah Sogabe · Journal of Physics Communications · 2022
Abstract Algorithms for designing quantum circuit architectures are important steps toward practical quantum computing technology. Applying agent-based artificial intelligence methods for quantum circuit design could improve the efficiency of quantum circuits. We propose a quantum observable Markov decision process planning algorithm for quantum circuit design. Our algorithm does not require state tomography, and hence has low readout sample complexity. Numerical simulations for entangled states preparation and energy minimization are demonstrated. The results show that the proposed method can be used to design quantum circuits to prepare the state and to minimize the energy.