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arXiv 2602.12938physics.app-ph
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全光控制的忆阻型共振计算系统，具备双极和并行编码能力

All-Optically Controlled Memristive Reservoir Computing Capable of Bipolar and Parallel Coding

Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences（中国科学院宁波材料技术与工程研究所）；School of Electronic and Information Engineering, Ningbo University of Technology（宁波工程学院电子信息工程学院）；Healthcare Engineering Centre, School of Engineering, Temasek Polytechnic（淡马锡理工学院工程学院医疗保健工程中心）；Center for AI Research, University of Agder（阿格德尔大学人工智能研究中心）；Department of Applied Physics, The Hong Kong Polytechnic University（香港理工大学应用物理系）；Institute of Wenzhou, Zhejiang University（浙江大学温州研究院）；State Key Laboratory of Silicon and Advanced Semiconductor Materials, School of Materials Science and Engineering, Zhejiang University（浙江大学材料科学与工程学院硅与先进半导体材料国家重点实验室）；Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences（中国科学院脑科学与智能技术卓越创新中心）；College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences（中国科学院大学材料科学与光电技术学院）

Lingxiang Hu, Dian Jiao, Kexuan Wang, Peihong Cheng, Jingrui Wang, Li Zhang, Athanasios V. Vasilakos, Yang Chai, Zhizhen Ye, Fei Zhuge

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33 pages, 11 figures
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AI总结：

本研究提出全光控制的忆阻型共振计算系统，利用双极和并行编码策略提升共振动力学和非线性映射能力，实现高效多源信号处理和高精度计算。

摘要：

物理共振计算（RC）利用物理系统的内在动力学演化实现高效的数据处理。新兴的光电共振计算平台，如光驱动忆阻器，融合了电子和光子计算的优势。然而，传统设计往往受限于光电设备的单极光响应，这限制了共振状态的多样性并降低了计算精度。为克服这些限制，我们引入了一个全光控制的共振计算系统，采用氧化物忆阻器阵列，展现出极高的均匀性和稳定性。忆阻器器件表现出波长依赖的双极光响应，源于光诱导动态演变的氧空位。通过调节双波长光脉冲的功率密度和照射模式，可以动态控制光电流弛豫和非线性。利用这些独特的器件特性，我们开发了双极和并行编码策略，显著丰富了共振动力学并增强了非线性映射能力。在字符识别和时间序列预测任务中，双极编码相比单极编码显示出明显更高的准确性。并行编码支持在单个共振器内多源信号融合，保持高计算精度的同时显著降低了硬件消耗。本工作提供了一种高性能的物理共振计算方法，为智能边缘计算铺平了道路。

英文摘要：

Physical reservoir computing (RC) utilizes the intrinsic dynamical evolution of physical systems for efficient data processing. Emerging optoelectronic RC platforms,such as light-driven memristors, merge the benefits of electronic and photonic computation. However, conventional designs are often limited by the unipolar photoresponse of optoelectronic devices, which restricts reservoir state diversity and reduces computational accuracy. To overcome these limitations, we introduce an all-optically controlled RC system employing an oxide memristor array that demonstrates exceptional uniformity and stability. The memristive devices exhibit wavelength-dependent bipolar photoresponse, originating from light-induced dynamic evolution of oxygen vacancies. Tuning the power density and irradiation mode of dual-wavelength light pulses enables dynamic control of photocurrent relaxation and nonlinearity. By leveraging these unique device properties, we develop bipolar and parallel coding strategies to significantly enrich reservoir dynamics and enhance nonlinear mapping capability. In word recognition and time-series prediction tasks, the bipolar coding demonstrates markedly improved accuracy compared to unipolar coding. The parallel coding supports multi-source signal fusion within a single reservoir, maintaining high computational accuracy while significantly reducing hardware consumption. This work provides a high-performance approach to physical RC, paving the way for intelligent edge computing.

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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