Abstract
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.
Funder
Information-technology Promotion Agency
Subject
General Physics and Astronomy
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献