Presentation + Paper
28 September 2023 Photonic decision making using optical spatiotemporal chaos generated from spatial light modulator
Atsushi Uchida, Kensei Morijiri, Kento Takehana, Kazutaka Kanno
Author Affiliations +
Abstract
Photonic decision making for solving the multi-armed bandit problem has been reported recently. However, experimental studies have been limited owing to technological difficulties. In this study, we experimentally demonstrate photonic decision making for solving a large-scale multi-armed bandit problem using optical spatiotemporal chaos generated by a semiconductor laser, spatial light modulator, and camera. We implement a parallel configuration of decision making with up to 512 slot machines, which is much larger than the previous experiment by two orders of magnitude. We found better scaling characteristics between decision-making performance and the number of slot machines than those obtained from software-based algorithms.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Atsushi Uchida, Kensei Morijiri, Kento Takehana, and Kazutaka Kanno "Photonic decision making using optical spatiotemporal chaos generated from spatial light modulator", Proc. SPIE 12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, 1265505 (28 September 2023); https://doi.org/10.1117/12.2676364
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KEYWORDS
Decision making

Spatial light modulators

Chaos

Cameras

Semiconductor lasers

Machine learning

Optoelectronics

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