Optical generation of random-number arrays for on-chip massively parallel Monte Carlo cellular processors
Abstract
Stochastic optical phenomena can be used for generation of random-bit arrays with a prescribed probability law that may vary in space and in time. This is useful for implementation of Monte Carlo algorithms, including simulated annealing, with a high recursion rate by monolithic massively parallel arrays of processing elements. Each processing element includes a photosensor. The use and advantages of speckle and of microchannel-plate image intensifiers amplifying single-photon events are considered.
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With the exception of spatially multiplexed systems based on two-dimensional imaging, high-speed optical random number generators produce serial binary sequences that cannot be easily scaled to higher rates.
“With the exception of spatially multiplexed systems based on two-dimensional imaging [14,15], high-speed optical random number generators produce serial binary sequences that cannot be easily scaled to higher rates.”
From Scalable parallel physical random number generator based on a superluminescent LED (2011) · cites this paper as [15]
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Scalable parallel physical random number generator based on a superluminescent LED
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Self-citation
- Authors
- Devos, F., Chavel, P., & Garda, P.
- Affiliations
- Université Paris-Sud (FR)
- ORCID
- Chavel, P.
- Venue
- Optics Letters
- Publisher
- Optica Publishing Group
- Published
- 1987-03-01
- Volume
- 12
- Issue
- 3
- Pages
- 152
- ISSN
- 0146-9592 (ISSN-L)
- 1539-4794
- OpenAlex
- W2011807196
- Cited by
- 13
- References
- 9
- Citations by year
- 2026: 1 · 2025: 1 · 2019: 1 · 2018: 1 · 2014: 1
- FWCI
- 0.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Optics Letters (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Acoustics and Ultrasonics › Random lasers and scattering media
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Cellular Automata and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Reservoir Computing
- Keywords
- random number generation, Monte Carlo methods, simulated annealing, massively parallel computers, photodetector arrays, speckle, microchannel plate image intensifier, single-photon detection, on-chip processing
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