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

arXiv: https://arxiv.org/abs/2307.15373 · HTML: https://mlsanity.com/paper/2307.15373/

## 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.

## Builds on (most cited first, 11 of 11)

- [Photonics for artificial intelligence and neuromorphic computing](https://mlsanity.com/paper/2011.00111/) (2020)
- [Brain-inspired computing: We need a master plan](https://mlsanity.com/paper/2104.14517/) (2021)
- [Reinforcement Learning in a large scale photonic Recurrent Neural Network](https://mlsanity.com/paper/1711.05133/) (2017)
- [Ultrafast photonic reinforcement learning based on laser chaos](https://mlsanity.com/paper/1704.04379/) (2017)
- [Scalable photonic reinforcement learning by time-division multiplexing of laser chaos](https://mlsanity.com/paper/1803.09425/) (2018)
- [Photonic architecture for reinforcement learning](https://mlsanity.com/paper/1907.07503/) (2019)
- [Controlling chaotic itinerancy in laser dynamics for reinforcement learning](https://mlsanity.com/paper/2205.05987/) (2022)
- [Entangled-photon decision maker](https://mlsanity.com/paper/1804.04316/) (2018)
- [Photonic neural field on a silicon chip: large-scale, high-speed neuro-inspired computing and sensing](https://mlsanity.com/paper/2105.10672/) (2021)
- [Parallel photonic accelerator for decision making using optical spatiotemporal chaos](https://mlsanity.com/paper/2210.06976/) (2022)
- [Conflict-free collective stochastic decision making by orbital angular momentum of photons through quantum interference](https://mlsanity.com/paper/2107.00877/) (2021)

## Built on by (most cited first, 2 of 2)

- [Asymmetric leader-laggard cluster synchronization for collective decision-making with laser network](https://mlsanity.com/paper/2312.02537/) (2023)
- [Decentralized multi-agent reinforcement learning algorithm using a cluster-synchronized laser network](https://mlsanity.com/paper/2407.09124/) (2024)

## 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.