Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Verschaffelt, Guy"'
Optical Ising machines have emerged as a promising dynamical hardware solver for computational hard optimization problems. These Ising machines typically require an optical modulator to represent the analog spin variables of these problems. However,
Externí odkaz:
http://arxiv.org/abs/2407.19956
Ising machines are dedicated hardware solvers of NP-hard optimization problems. However, they do not always find the most optimal solution. The probability of finding this optimal solution depends on the problem at hand. Using continuation methods, w
Externí odkaz:
http://arxiv.org/abs/2405.17112
Publikováno v:
Nature Communications 13, 5847 (2022)
Ising machines are a promising non-von-Neumann computational concept for neural network training and combinatorial optimization. However, while various neural networks can be implemented with Ising machines, their inability to perform fast statistica
Externí odkaz:
http://arxiv.org/abs/2112.11534
Publikováno v:
Communications Physics 4, 147 (2021)
Ising machines based on nonlinear analog systems are a promising method to accelerate computation of NP-hard optimization problems. Yet, their analog nature is also causing amplitude inhomogeneity which can deteriorate the ability to find optimal sol
Externí odkaz:
http://arxiv.org/abs/2012.10430
We investigate, both numerically and experimentally, the usefulness of a distributed nonlinearity in a passive coherent photonic reservoir computer. This computing system is based on a passive coherent optical fiber-ring cavity in which part of the n
Externí odkaz:
http://arxiv.org/abs/1908.11210
Photonic delay-based reservoir computing (RC) has gained considerable attention lately, as it allows for simple technological implementations of the RC concept that can operate at high speed. In this paper, we discuss a practical, compact and robust
Externí odkaz:
http://arxiv.org/abs/1907.02804
Publikováno v:
Nanophotonics, Vol 12, Iss 5, Pp 949-961 (2022)
Photonic reservoir computing has been demonstrated to be able to solve various complex problems. Although training a reservoir computing system is much simpler compared to other neural network approaches, it still requires considerable amounts of res
Externí odkaz:
https://doaj.org/article/f8299ec6dc634956a168739dbb4b2521
Akademický článek
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Autor:
Beri, Stefano, Mashall, Lilia, Gelens, Lendert, Van der Sande, Guy, Mezosi, Gabor, Sorel, Marc, Danckaert, Jan, Verschaffelt, Guy
Publikováno v:
Physics Letters A 374, 739-743 (2010)
We report theoretically and experimentally on excitability in semiconductor ring lasers in order to reveal a mechanism of excitability, general for systems close to Z2-symmetry. The global shapes of the invariant manifolds of a saddle in the vicinity
Externí odkaz:
http://arxiv.org/abs/1108.3738
Autor:
Ferranti, Francesco, Keshavarz Hedayati, Mehdi, Fratalocchi, Andrea, Lamers, Jacob, Verschaffelt, Guy, Van der Sande, Guy
Publikováno v:
Proceedings of SPIE; June 2024, Vol. 13017 Issue: 1 p130170O-130170O-4, 1171535p