论文标题
实时量子储层计算的可扩展光子平台
Scalable photonic platform for real-time quantum reservoir computing
论文作者
论文摘要
量子储层计算（QRC）利用了量子系统的信息处理能力来解决非平凡的时间任务，从而改善了其经典同行。最近的进步表明，QRC利用扩大的希尔伯特空间的潜力，但是实时处理和通过有效利用资源的实现量子优势实现了量子优势，这是对可行的实验实现的巨大挑战。在这项工作中，我们提出了一个适用于实时QRC的光子平台，基于储层的物理集合，以相同的光脉冲的形式通过封闭环循环。虽然理想的操作可实现最大能力，但显示统计噪声会破坏量子优势。我们提出了一种克服这一限制并维持QRC性能的策略。该平台被认为是通过当前技术可行的实验实现。
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.
