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arXiv 2207.14031quant-phphysics.optics

用于实时量子储备池计算的可扩展光子平台

Scalable photonic platform for real-time quantum reservoir computing

Jorge García-Beni, Gian Luca Giorgi, Miguel C. Soriano, Roberta Zambrini

AI总结:

针对量子储备池计算(QRC)的实时处理与量子优势实现难题,提出基于闭环循环光脉冲储备池集合的可扩展光子平台,设计噪声应对策略以在系统扩容时维持性能,且适配现有技术实现条件。

摘要:

量子储备池计算(Quantum Reservoir Computing, QRC)利用量子系统的信息处理能力解决复杂的时序任务,性能优于经典同类方案。近期研究进展已展现出QRC利用扩展希尔伯特空间的潜力,但实时处理以及在高效利用资源的前提下实现量子优势,是迈向可行实验实现的突出挑战。本研究中,我们提出一种适用于实时QRC的光子平台,其基于由在闭环中循环的相同光脉冲构成的物理储备池集合。理想运行状态下可实现最大容量,但统计噪声会破坏量子优势。我们提出一种克服该限制的策略,可在系统规模扩大时维持QRC性能。该平台的设计目标是可借助现有技术实现实验落地。

英文摘要:

Quantum Reservoir Computing (QRC) exploits the information processing capabilities of quantum systems to solve non-trivial temporal tasks, improving over their classical counterparts. Recent progress has shown the potential of QRC exploiting the enlarged Hilbert space, but real-time processing and the achievement of a quantum advantage with efficient use of resources are prominent challenges towards viable experimental realizations. In this work, we propose a photonic platform suitable for real-time QRC based on a physical ensemble of reservoirs in the form of identical optical pulses recirculating through a closed loop. While ideal operation achieves maximum capacities, statistical noise is shown to undermine a quantum advantage. We propose a strategy to overcome this limitation and sustain the QRC performance when the size of the system is scaled up. The platform is conceived for experimental implementations to be viable with current technology.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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