• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用相互耦合半导体激光器中混沌的滞后同步解决多臂老虎机问题的决策方法。

Decision making for the multi-armed bandit problem using lag synchronization of chaos in mutually coupled semiconductor lasers.

作者信息

Mihana Takatomo, Mitsui Yusuke, Takabayashi Mizuho, Kanno Kazutaka, Sunada Satoshi, Naruse Makoto, Uchida Atsushi

出版信息

Opt Express. 2019 Sep 16;27(19):26989-27008. doi: 10.1364/OE.27.026989.

DOI:10.1364/OE.27.026989
PMID:31674568
Abstract

We numerically and experimentally demonstrate the utilization of the synchronization of chaotic lasers for decision making. We perform decision making to solve the multi-armed bandit problem using lag synchronization of chaos in mutually coupled semiconductor lasers. We observe the spontaneous exchanges of the leader-laggard relationship under lag synchronization of chaos, and we find that the leader laser can be controlled by changing the coupling strengths between the two lasers. To solve the multi-armed bandit problem, we select one of the slot machines with unknown hit probabilities based only on the identity of the leader laser while reconfiguring the coupling strength to determine the correct decision. We successfully perform an on-line experimental demonstration of the decision making based on the two-laser coupled architecture. This is the first time that synchronization in chaotic lasers is utilized for decision making, and this study paves the way for novel resources for future photonic intelligence.

摘要

我们通过数值模拟和实验证明了混沌激光器同步在决策中的应用。我们利用相互耦合的半导体激光器中的混沌滞后同步来进行决策,以解决多臂老虎机问题。我们观察到在混沌滞后同步下领导者-跟随者关系的自发交换,并且发现通过改变两个激光器之间的耦合强度可以控制领导者激光器。为了解决多臂老虎机问题,我们仅根据领导者激光器的身份选择一台命中概率未知的老虎机,同时重新配置耦合强度以确定正确的决策。我们成功地基于双激光器耦合架构进行了决策的在线实验演示。这是首次将混沌激光器中的同步用于决策,该研究为未来光子智能的新型资源铺平了道路。

相似文献

1
Decision making for the multi-armed bandit problem using lag synchronization of chaos in mutually coupled semiconductor lasers.利用相互耦合半导体激光器中混沌的滞后同步解决多臂老虎机问题的决策方法。
Opt Express. 2019 Sep 16;27(19):26989-27008. doi: 10.1364/OE.27.026989.
2
Laser network decision making by lag synchronization of chaos in a ring configuration.通过环形配置中混沌的滞后同步进行激光网络决策
Opt Express. 2020 Dec 21;28(26):40112-40130. doi: 10.1364/OE.411140.
3
Decision making for large-scale multi-armed bandit problems using bias control of chaotic temporal waveforms in semiconductor lasers.利用半导体激光器中混沌时间波形的偏差控制解决大规模多臂老虎机问题的决策方法。
Sci Rep. 2022 May 16;12(1):8073. doi: 10.1038/s41598-022-12155-y.
4
Time-delay signature concealment of chaos and ultrafast decision making in mutually coupled semiconductor lasers with a phase-modulated Sagnac loop.具有相位调制萨尼亚克环的相互耦合半导体激光器中混沌的时延特征隐藏与超快决策
Opt Express. 2020 Jan 20;28(2):1665-1678. doi: 10.1364/OE.384378.
5
Conflict-free joint decision by lag and zero-lag synchronization in laser network.激光网络中通过滞后和零滞后同步实现无冲突联合决策。
Sci Rep. 2024 Feb 22;14(1):4355. doi: 10.1038/s41598-024-54491-1.
6
Leader-laggard relationship of chaos synchronization in mutually coupled vertical-cavity surface-emitting lasers with time delay.具有时间延迟的相互耦合垂直腔面发射激光器中混沌同步的领先-滞后关系。
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Feb;79(2 Pt 2):026210. doi: 10.1103/PhysRevE.79.026210. Epub 2009 Feb 13.
7
Chaos synchronization in mutually coupled semiconductor lasers with asymmetrical bias currents.具有不对称偏置电流的相互耦合半导体激光器中的混沌同步
Opt Express. 2011 Apr 25;19(9):8762-73. doi: 10.1364/OE.19.008762.
8
Photonic decision-making for arbitrary-number-armed bandit problem utilizing parallel chaos generation.利用并行混沌生成解决任意臂数的强盗问题的光子决策。
Opt Express. 2021 Aug 2;29(16):25290-25301. doi: 10.1364/OE.432956.
9
Ultrafast photonic reinforcement learning based on laser chaos.基于激光混沌的超快光子强化学习。
Sci Rep. 2017 Aug 18;7(1):8772. doi: 10.1038/s41598-017-08585-8.
10
Scalable photonic reinforcement learning by time-division multiplexing of laser chaos.通过激光混沌的时分复用实现可扩展的光子强化学习。
Sci Rep. 2018 Jul 18;8(1):10890. doi: 10.1038/s41598-018-29117-y.

引用本文的文献

1
Conflict-free joint decision by lag and zero-lag synchronization in laser network.激光网络中通过滞后和零滞后同步实现无冲突联合决策。
Sci Rep. 2024 Feb 22;14(1):4355. doi: 10.1038/s41598-024-54491-1.
2
Controlling chaotic itinerancy in laser dynamics for reinforcement learning.控制激光动力学中的混沌遍历以进行强化学习。
Sci Adv. 2022 Dec 9;8(49):eabn8325. doi: 10.1126/sciadv.abn8325. Epub 2022 Dec 7.
3
Decision making for large-scale multi-armed bandit problems using bias control of chaotic temporal waveforms in semiconductor lasers.
利用半导体激光器中混沌时间波形的偏差控制解决大规模多臂老虎机问题的决策方法。
Sci Rep. 2022 May 16;12(1):8073. doi: 10.1038/s41598-022-12155-y.