计算机科学
混乱的
随机数生成
可扩展性
巨量平行
光子学
生物光子学
混沌(操作系统)
频道(广播)
光通信
吞吐量
电子工程
分布式计算
电信
无线
并行计算
物理
人工智能
算法
光电子学
计算机安全
数据库
工程类
作者
Bitao Shen,Haowen Shu,Weiqiang Xie,Ruixuan Chen,Zhi Liu,Zhangfeng Ge,Xuguang Zhang,Yimeng Wang,Yunhao Zhang,Buwen Cheng,Shaohua Yu,Lin Chang,Xingjun Wang
标识
DOI:10.1038/s41467-023-40152-w
摘要
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.
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