11 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Optimizing Energy-based Neural Network Training with Coherent Ising Machine
Chen-Rui Fan, Bo Lu, Zhi-Hong Zhang +3
While Ising machines serve as advanced physical solvers for the Ising model,enabling applications in combinatorial optimization and neural network training,their scalability for la…
cs.LG2026
Hybridizing Equilibrium Propagation with Ising Machines for Efficient Energy-Based Learning
Chen-Rui Fan, Bo Lu, Xing-Yu Wu +2
The rapid evolution of artificial intelligence has led to substantial advances in deep neural networks. Nonetheless, conventional GPU-based training remains highly energy-demanding…
quant-ph2022★ 11 cited
Combinatorial optimization solving by coherent Ising machines based on spiking neural networks
Bo Lu, Yong-Pan Gao, Kai Wen +1
Spiking neural network is a kind of neuromorphic computing that is believed to improve the level of intelligence and provide advantages for quantum computing. In this work, we addr…