Optimizing Energy-based Neural Network Training with Coherent Ising Machine 事件

Optimizing Energy-based Neural Network Training with Coherent Ising Machine arXiv:2606.09117v1 Announce Type: cross Abstract: While Ising machines serve as advanced physical solvers for the Ising model,enabling applications in combinatorial optimization and neural network training,their scalability for large-scale neural networks remains constrained by hardware connectivity limitations and suboptimal training methodologies. In this work,we leverage a Coherent Ising Machine (CIM) to train an ene