{"title":"Parallel Wideband Chaos Generation System for Advancing High-Throughput Information Processing Based on an Array of Four Distributed Feedback Lasers","authors":"Yu Huang, Pei Zhou, Kuenyao Lau, Nianqiang Li","doi":"10.1021/acsphotonics.4c01641","DOIUrl":null,"url":null,"abstract":"Optical chaos, especially in the form of parallel temporal/spatial chaos, presents a highly efficient approach for high-throughput information processing in diverse applications such as optical communication and reinforcement learning. However, despite these advancements, current approaches mainly focus on achieving enhanced single-channel performance or compromised multichannel realization (e.g., sacrificing the bandwidth, individual control, or system complexity). In this study, an integrated laser array with intensity-modulated optical injection is exclusively fabricated and employed to produce parallel optical chaos exhibiting independent and wideband characteristics. We demonstrate in a proof-of-concept experiment that allows for feasibly generating four parallel chaotic signals with a bandwidth exceeding 30 GHz, which is only limited by the detection devices. Benefiting from the high-frequency oscillations and faster dynamics of the on-chip laser array, the physical (physical-based pseudo) random bit generation rate can reach up to 1.6 Tb/s (15.04 Tb/s) by leveraging two postprocessing methods. We further expand the superiority of our proposed approach by demonstrating parallel benchmark decision-making, where we testify both experimentally and numerically that our fabricated laser array system outperforms the existing conventional approaches. This work explores novel avenues for high-throughput information processing by deploying chip-scale parallel chaotic systems.","PeriodicalId":23,"journal":{"name":"ACS Photonics","volume":null,"pages":null},"PeriodicalIF":6.5000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Photonics","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1021/acsphotonics.4c01641","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Optical chaos, especially in the form of parallel temporal/spatial chaos, presents a highly efficient approach for high-throughput information processing in diverse applications such as optical communication and reinforcement learning. However, despite these advancements, current approaches mainly focus on achieving enhanced single-channel performance or compromised multichannel realization (e.g., sacrificing the bandwidth, individual control, or system complexity). In this study, an integrated laser array with intensity-modulated optical injection is exclusively fabricated and employed to produce parallel optical chaos exhibiting independent and wideband characteristics. We demonstrate in a proof-of-concept experiment that allows for feasibly generating four parallel chaotic signals with a bandwidth exceeding 30 GHz, which is only limited by the detection devices. Benefiting from the high-frequency oscillations and faster dynamics of the on-chip laser array, the physical (physical-based pseudo) random bit generation rate can reach up to 1.6 Tb/s (15.04 Tb/s) by leveraging two postprocessing methods. We further expand the superiority of our proposed approach by demonstrating parallel benchmark decision-making, where we testify both experimentally and numerically that our fabricated laser array system outperforms the existing conventional approaches. This work explores novel avenues for high-throughput information processing by deploying chip-scale parallel chaotic systems.
期刊介绍:
Published as soon as accepted and summarized in monthly issues, ACS Photonics will publish Research Articles, Letters, Perspectives, and Reviews, to encompass the full scope of published research in this field.