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arXiv 2605.01792physics.opticsnlin.CD
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利用光机械振荡器的复杂非线性动力学进行计算

Computing with the complex nonlinear dynamics of an optomechanical oscillator

Instituto de Ciencia de Materiales de Madrid (ICMM-CSIC)(马德里材料科学研究所);Department of Electrical and Photonics Engineering, Technical University of Denmark(丹麦技术大学电气与光子工程系);NanoPhoton – Center for Nanophotonics, Technical University of Denmark(丹麦技术大学纳米光子学中心);Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), CSIC–UIB(复杂系统与跨学科物理研究所)

Shulamit Edelstein, Marcos Menendez, Bingrui Lu, Babak Vosoughi Lahijani, Cefe Lopez, Miguel C. Soriano, Søren Stobbe, Pedro David Garcia

AI总结:

本文利用光机械振荡器在阈值以上的相干自持振荡区域作为物理储层,通过扰动声子激光吸引子实现非线性输入-输出变换和短期记忆,无需外部反馈,成功重构非线性函数、预测混沌时间序列并完成口语数字分类。

摘要:

光机械振荡器经历Hopf分岔,连接两个具有不同信息处理能力的动力学区域:热布朗运动和相干自持振荡。在阈值以下,振荡器占据一个稳定不动点,热波动驱动随机布朗运动——这是一个以线性响应为主的区域,只有短暂的记忆和可忽略的可用非线性。在阈值以上,辐射压力、自由载流子动力学和热光弛豫共同作用,维持一个稳定的极限环,同时提供非线性变换和动力学记忆。这里我们展示,这个相干区域可以用作计算的物理储层:通过扰动声子激光吸引子,腔体执行非线性输入-输出变换,并在没有任何外部反馈机制的情况下保留短期记忆。仅使用一个具有20个虚拟节点的芯片集成器件,我们重构了非线性函数,预测了混沌时间序列的演化,并在两位数字子任务上执行了口语数字分类。机械共振频率设定了储层的内在动力学时间尺度,从而决定了其处理速度;虽然当前器件在0.4 GHz附近运行,但光机械和纳米机械系统可以设计达到多GHz和亚太赫兹频率,直接转化为超快集成物理计算的可扩展路径。

英文摘要:

An optomechanical oscillator undergoes a Hopf bifurcation that connects two dynamical regimes with different information-processing capabilities: thermal Brownian motion and coherent self-sustained oscillation. Below threshold, the oscillator occupies a stable fixed point around which thermal fluctuations drive stochastic Brownian motion - a regime dominated by linear response, with only short-lived memory and negligible usable nonlinearity. Above threshold, radiation pressure, free-carrier dynamics, and thermo-optic relaxation act together to sustain a stable limit cycle that simultaneously provides both nonlinear transformation and dynamical memory. Here we show that this coherent regime can be used as a physical reservoir for computation: by perturbing the phonon-lasing attractor, the cavity performs nonlinear input-output transformations and retains short-term memory without any external feedback mechanism. Using only a single chip-integrated device with 20 virtual nodes, we reconstruct nonlinear functions, predict the evolution of chaotic time series, and perform spoken digit classification on a two-digit sub-task. The mechanical resonance frequency sets the intrinsic dynamical timescale of the reservoir and therefore its processing speed; while the present device operates near 0.4 GHz, optomechanical and nanomechanical systems can be engineered to reach multi-GHz and sub-terahertz frequencies, directly translating into a scalable path toward ultrafast integrated physical 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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