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Dec, 2023
量子计算中强化学习的挑战
Challenges for Reinforcement Learning in Quantum Computing
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Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor...
TL;DR
该研究论文介绍了量子计算在当前NISQ时代的限制,并提出了通过混合量子机器学习来改善量子计算架构的方法,重点是利用强化学习来优化当前的量子计算方法,并介绍了由量子架构搜索和量子电路优化引起的各种挑战,以及提出的用于学习控制一组万能量子门的具体框架,并提供基准结果以评估当前最先进算法的优点和短处。
Abstract
quantum computing
(QC) in the current NISQ-era is still limited. To gain early insights and advantages, hybrid applications are widely considered mitigating those shortcomings.
hybrid quantum machine learning
(QM
→