Shen Bitao, Shu Haowen, Xie Weiqiang, Chen Ruixuan, Liu Zhi, Ge Zhangfeng, Zhang Xuguang, Wang Yimeng, Zhang Yunhao, Cheng Buwen, Yu Shaohua, Chang Lin, Wang Xingjun
State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University, 100871, Beijing, China.
Department of Electronic Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China.
Nat Commun. 2023 Jul 31;14(1):4590. doi: 10.1038/s41467-023-40152-w.
Optical chaos is vital for various applications such as private communication, encryption, anti-interference sensing, and reinforcement learning. Chaotic microcombs have emerged as promising sources for generating massive optical chaos. However, their inter-channel correlation behavior remains elusive, limiting their potential for on-chip parallel chaotic systems with high throughput. In this study, we present massively parallel chaos based on chaotic microcombs and high-nonlinearity AlGaAsOI platforms. We demonstrate the feasibility of generating parallel chaotic signals with inter-channel correlation <0.04 and a high random number generation rate of 3.84 Tbps. We further show the application of our approach by demonstrating a 15-channel integrated random bit generator with a 20 Gbps channel rate using silicon photonic chips. Additionally, we achieved a scalable decision-making accelerator for up to 256-armed bandit problems. Our work opens new possibilities for chaos-based information processing systems using integrated photonics, and potentially can revolutionize the current architecture of communication, sensing and computations.
光学混沌对于诸如私密通信、加密、抗干扰传感和强化学习等各种应用至关重要。混沌微梳已成为产生大量光学混沌的有前途的光源。然而，它们的通道间相关行为仍然难以捉摸，限制了它们在具有高吞吐量的片上并行混沌系统中的潜力。在本研究中，我们提出了基于混沌微梳和高非线性AlGaAsOI平台的大规模并行混沌。我们展示了生成通道间相关性<0.04且随机数生成速率高达3.84 Tbps的并行混沌信号的可行性。我们通过使用硅光子芯片展示一个通道速率为20 Gbps的15通道集成随机比特发生器，进一步展示了我们方法的应用。此外，我们实现了一个可扩展的决策加速器，可用于解决多达256臂老虎机问题。我们的工作为使用集成光子学的基于混沌的信息处理系统开辟了新的可能性，并有可能彻底改变当前的通信、传感和计算架构。
