mlsanityData to 14 Oct 2026

Conflict-free joint decision by lag and zero-lag synchronization in laser network

arXiv 2307.15373 ↗First posted 28 Jul 2023physics.optics cs.LG cs.SYcited by 2

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Abstract (arXiv)

With the end of Moore's Law and the increasing demand for computing, photonic accelerators are garnering considerable attention. This is due to the physical characteristics of light, such as high bandwidth and multiplicity, and the various synchronization phenomena that emerge in the realm of laser physics. These factors come into play as computer performance approaches its limits. In this study, we explore the application of a laser network, acting as a photonic accelerator, to the competitive multi-armed bandit problem. In this context, conflict avoidance is key to maximizing environmental rewards. We experimentally demonstrate cooperative decision-making using zero-lag and lag synchronization within a network of four semiconductor lasers. Lag synchronization of chaos realizes effective decision-making and zero-delay synchronization is responsible for the realization of the collision avoidance function. We experimentally verified a low collision rate and high reward in a fundamental 2-player, 2-slot scenario, and showed the scalability of this system. This system architecture opens up new possibilities for intelligent functionalities in laser dynamics.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 11 of its 48 references that are in the map. First posted on arXiv 28 Jul 2023.

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11 of 48 references.

References · 11

  1. 2020Photonics for artificial intelligence and neuromorphic computingcited by 112
  2. 2021Brain-inspired computing: We need a master plancited by 51
  3. 2017Reinforcement Learning in a large scale photonic Recurrent Neural Networkcited by 30
  4. 2017Ultrafast photonic reinforcement learning based on laser chaoscited by 13
  5. 2018Scalable photonic reinforcement learning by time-division multiplexing of laser chaoscited by 8
  6. 2019Photonic architecture for reinforcement learningcited by 8
  7. 2022Controlling chaotic itinerancy in laser dynamics for reinforcement learningcited by 7
  8. 2018Entangled-photon decision makercited by 6
  9. 2021Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensingcited by 6
  10. 2022Parallel photonic accelerator for decision making using optical spatiotemporal chaoscited by 6
  11. 2021Conflict-free collective stochastic decision making by orbital angular momentum of photons through quantum interferencecited by 5

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Citing papers per year: 2023: 1; 2024: 1.

2 papers.