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arXiv 2602.14736quant-ph
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利用色心单光子源实现耦合集成光子量子忆阻器

Coupled integrated photonic quantum memristors using a single photon source made of a colour center

University of Trento(特伦托大学);University of Technology of Troyes-UTT(特鲁瓦理工大学)

Alessio Baldazzi, Roy Philip George Konnoth Ancel, Sebastiano Guaraldo, Ivan Fattori, Xuan Chen, Ziad Abi Akar, Regis Deturche, Stefano Azzini, Christophe Couteau, Lorenzo Pavesi

AI总结:

实验实现并表征了基于硅氮色心单光子源和硅氮化物光子集成回路的两个交叉反馈耦合光子量子忆阻器网络,展示了增强的非马尔可夫输入输出动力学和忆阻行为。

摘要:

光子量子忆阻器提供了一种测量诱导的非线性和历史依赖的量子动力学路径。迄今为止的实验演示主要集中在孤立器件或简单的级联器件配置上。在这里,我们实验实现并表征了一个具有交叉反馈的两个耦合光子量子忆阻器网络,该网络在氮化硅光子集成电路上实现,并由基于纳米金刚石中硅空位色心SiV$^-$的室温单光子源馈送。每个忆阻器由一个集成马赫-曾德尔干涉仪组成,其传递函数通过另一个忆阻器上的光子探测事件自适应更新,从而产生新颖的非马尔可夫输入输出动力学,与单个器件相比具有增强的忆阻行为。特别是,我们报告了忆阻器间的输入输出迟滞曲线,这些曲线表现出更大的形状因子并显示自相交环,分别揭示了显著的双稳态和自相交迟滞几何形状。此外,数值模拟显示了这些特征如何从记忆深度和相对输入相位之间的相互作用中产生,适用于忆阻器内和忆阻器间的输入输出关系。我们在NARMA任务中实验测试了系统的性能。我们的结果将耦合集成光子量子忆阻器确立为可扩展的非线性构建模块,并突出了它们在实现紧凑量子神经形态和储层计算架构方面的潜力。

英文摘要:

Photonic quantum memristors provide a measurement-induced route to nonlinear and history-dependent quantum dynamics. Experimental demonstrations have so far focused on isolated devices or simple cascaded devices configurations. Here, we experimentally realize and characterize a network of two coupled photonic quantum memristors with crossed feedback, implemented on a silicon nitride photonic integrated circuit and fed by a room-temperature single-photon source based on a silicon-vacancy color center SiV$^-$ in a nanodiamond. Each memristor consists of an integrated Mach-Zehnder interferometer whose transfer function is adaptively updated by photon detection events on another memristor, thus generating novel non-Markovian input-output dynamics with an enhanced memristive behaviour compared to single devices. In particular, we report inter-memristor input-output hysteresis curves exhibiting larger form factors and displaying self-intersecting loops, respectively revealing marked bistability and self-intersecting hysteresis geometry. Furthermore, numerical simulations show how these features emerge from the interplay between memory depth and relative input phase, for both intra- and inter-memristor input-output relations. We experimentally test the performance of our system in the NARMA task. Our results establish coupled integrated photonic quantum memristors as scalable nonlinear building blocks and highlight their potential for implementing compact quantum neuromorphic and reservoir computing architectures.

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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