AI 中文总结
研究提出基于相位的统一框架解释光子记忆，通过理论分析、数值模拟及硅光子波导实验验证，展示了从线性到非线性及驱动耗散记忆的连续进展，证明三种光子记忆状态在单个光子平台共存，为相关系统设计提供通用框架。
AI 中文摘要
光子记忆是光学信息处理、神经形态光子学和光子计算的基础。现有研究通常将色散、非线性和驱动耗散记忆视为不同的物理现象，尽管它们都受光场演化支配。本文提出一个基于相位的统一框架，将光子记忆解释为动态相位，记忆状态之间的转变由光学相位演化、克尔非线性以及延迟反馈和耗散之间的平衡决定。通过理论分析和数值模拟验证了该框架，展示了从线性色散记忆到非线性乃至驱动耗散记忆的连续进展。利用包含啁啾布拉格光栅的硅光子波导进行了实验验证，群延迟测量揭示了不同的线性和非线性记忆响应，重建的记忆分布表明在单个集成光子器件中色散、非线性和驱动耗散记忆共存。这是首次在单个光子平台上支持所有三种光子记忆状态共存的实验证明，这些结果确立了光学相位作为光子记忆的统一物理量，并为设计未来神经形态光子系统、储层计算机和集成光子处理器提供了通用框架。
英文摘要
Photonic memory underpins optical information processing, neuromorphic photonics, and photonic computing. Existing studies typically treat dispersive, nonlinear, and driven-dissipative memory as distinct physical phenomena, despite all being governed by the evolution of the optical field. This work proposes a unified phase-based framework in which photonic memory is interpreted as a dynamical phase, with transitions between memory regimes governed by optical phase evolution, Kerr nonlinearity, and the balance between delayed feedback and dissipation. Within this framework, dispersive memory arises from frequency-dependent phase accumulation, nonlinear memory emerges through intensity-dependent phase evolution leading to bistability and hysteresis, and driven-dissipative memory is established through attractor convergence and memory stabilization. The proposed framework is validated through theoretical analysis and numerical simulations, demonstrating a continuous progression from linear dispersive memory to nonlinear and ultimately driven-dissipative memory. Experimental validation is performed using a silicon photonic waveguide incorporating chirped Bragg gratings. Group delay measurements reveal distinct linear and nonlinear memory responses, while the reconstructed memory distribution demonstrates the coexistence of dispersive, nonlinear, and driven-dissipative memory within a single integrated photonic device. To the best of the author's knowledge, this constitutes the first experimental demonstration supporting the coexistence of all three photonic memory regimes in a single photonic platform. These results establish optical phase as the unifying physical quantity underlying photonic memory and provide a common framework for designing future neuromorphic photonic systems, reservoir computers, and integrated photonic processors.
Comments9 pages, 10 figures
