Model-Free Deep Recurrent Q-Network Reinforcement Learning for Quantum Circuit Architectures Design

Artificial intelligence (AI) technology leads to new insights into the manipulation of quantum systems in the Noisy Intermediate-Scale Quantum (NISQ) era. Classical agent-based artificial intelligence algorithms provide a framework for the design or control of quantum systems. Traditional reinforcem...

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書誌詳細

主要な著者:	Tomah Sogabe, Tomoaki Kimura, Chih-Chieh Chen, Kodai Shiba, Nobuhiro Kasahara, Masaru Sogabe, Katsuyoshi Sakamoto
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-09-01
シリーズ:	Quantum Reports
主題:	quantum circuits reinforcement learning Q-learning LSTM
オンライン･アクセス:	https://www.mdpi.com/2624-960X/4/4/27
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