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-ph2026
Investigating Lipkin-Meshkov-Glick Model and Criticality-Enhanced Metrology in a Coherent Ising Machine
Shuang-Quan Ma, Jing-Yi-Ran Jin, Chen-Rui Fan +2
Quantum criticality has received extensive attention due to its ability to significantly enhance quantum sensing. But its realization and control in many-body quantum systems remai…