137 citations · 339 across the 17 of their papers we have counts for
5 papers · 1 filter
Collective and synchronous dynamics of photonic spiking neurons
Takahiro Inagaki, Kensuke Inaba, Timothée Leleu +7
Nonlinear dynamics of spiking neural networks has recently attracted much interest as an approach to understand possible information processing in the brain and apply it to artific…
Scaling advantage of nonrelaxational dynamics for high-performance combinatorial optimization
Timothee Leleu, Farad Khoyratee, Timothee Levi +3
The development of physical simulators, called Ising machines, that sample from low energy states of the Ising Hamiltonian has the potential to drastically transform our ability to…
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time
Yusuke Sakemi, Kai Morino, Timothée Leleu +1
Reservoir computing (RC) is a machine learning algorithm that can learn complex time series from data very rapidly based on the use of high-dimensional dynamical systems, such as r…
Coherent Ising machines -- Quantum optics and neural network perspectives
Y. Yamamoto, T. Leleu, S. Ganguli +1
A coherent Ising machine (CIM) is a network of optical parametric oscillators (OPOs), in which the "strongest" collective mode of oscillation at well above threshold corresponds to…
Coherent Ising machines with error correction feedback
Satoshi Kako, Timothée Leleu, Yoshitaka Inui +3
A non-equilibrium open-dissipative neural network, such as a coherent Ising machine based on mutually coupled optical parametric oscillators, has been proposed and demonstrated as…