首页|Quafu-RL:The cloud quantum computers based quantum reinforcement learning

Quafu-RL:The cloud quantum computers based quantum reinforcement learning

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With the rapid advancement of quantum computing,hybrid quantum-classical machine learning has shown numerous potential applications at the current stage,with expectations of being achievable in the noisy intermediate-scale quantum(NISQ)era.Quantum reinforcement learning,as an indispensable study,has recently demonstrated its ability to solve standard benchmark environments with formally provable theoretical advantages over classical counterparts.However,despite the progress of quantum processors and the emergence of quantum computing clouds,implementing quantum reinforcement learning algorithms utilizing parameterized quantum circuits(PQCs)on NISQ devices remains infrequent.In this work,we take the first step towards executing benchmark quantum reinforcement problems on real devices equipped with at most 136 qubits on the BAQIS Quafu quantum computing cloud.The experimental results demonstrate that the policy agents can successfully accomplish objectives under modified conditions in both the training and inference phases.Moreover,we design hardware-efficient PQC architectures in the quantum model using a multi-objective evolutionary algorithm and develop a learning algorithm that is adaptable to quantum devices.We hope that the Quafu-RL can be a guiding example to show how to realize machine learning tasks by taking advantage of quantum computers on the quantum cloud platform.

quantum cloud platformquantum reinforcement learningevolutionary quantum architecture search

靳羽欣、许宏泽、王正安、庄伟峰、黄凯旋、时运豪、马卫国、李天铭、陈驰通、许凯、冯玉龙、刘培、陈墨、李尚书、杨智鹏、钱辰、马运恒、肖骁、钱鹏、顾炎武、柴绪丹、普亚南、张翼鹏、魏世杰、曾进峰、李行、龙桂鲁、金贻荣、于海峰、范桁、刘东、胡孟军

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Beijing Academy of Quantum Information Sciences,Beijing 100193,China

School of Mathematical Sciences,Nankai University,Tianjin 300071,China

Institute of Physics,Chinese Academy of Sciences,Beijing 100190,China

School of Physical Sciences,University of Chinese Academy of Sciences,Beijing 100190,China

CAS Center for Excellence in Topological Quantum Computation,University of Chinese Academy of Sciences,Beijing 100190,China

State Key Laboratory of Low Dimensional Quantum Physics,Department of Physics,Tsinghua University,Beijing 100084,China

Frontier Science Center for Quantum Information,Beijing 100184,China

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国家自然科学基金中国博士后科学基金国家自然科学基金中国博士后科学基金

923652062023M740272122471682022TQ0036

2024

10.1088/1674-1056/ad3061

中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI
影响因子：0.995
ISSN：1674-1056
年,卷(期)：2024.33(5)
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