Addressing limited weight resolution in a fully optical neuromorphic reservoir computing readout

Autor: Floris Laporte, Peter Bienstman, Joni Dambre, Chonghuai Ma
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Signal Processing (eess.SP)
FOS: Computer and information sciences
Computer Science - Machine Learning
Technology and Engineering
Computer science
Science
Computer Science - Emerging Technologies
02 engineering and technology
01 natural sciences
Article
Machine Learning (cs.LG)
010309 optics
020210 optoelectronics & photonics
0103 physical sciences
FOS: Electrical engineering
electronic engineering
information engineering
0202 electrical engineering
electronic engineering
information engineering
Electrical Engineering and Systems Science - Signal Processing
Multidisciplinary
Quantization (signal processing)
Reservoir computing
Electrical and electronic engineering
Weighting
Noise
Emerging Technologies (cs.ET)
Optics and photonics
Neuromorphic engineering
Computer engineering
Bit error rate
Medicine
Zdroj: SCIENTIFIC REPORTS
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports
ISSN: 2045-2322
Popis: Using optical hardware for neuromorphic computing has become more and more popular recently due to its efficient high-speed data processing capabilities and low power consumption. However, there are still some remaining obstacles to realizing the vision of a completely optical neuromorphic computer. One of them is that, depending on the technology used, optical weighting elements may not share the same resolution as in the electrical domain. Moreover, noise and drift are important considerations as well. In this article, we investigate a new method for improving the performance of optical weighting, even in the presence of noise and in the case of very low resolution. Even with only 8 to 32 levels of resolution, the method can outperform the naive traditional low-resolution weighting by several orders of magnitude in terms of bit error rate and can deliver performance very close to full-resolution weighting elements, also in noisy environments.
Comment: 10 pages, 8 figures
Databáze: OpenAIRE
Externí odkaz: