3 papers
quant-ph2026
A Backend-Agnostic MWIS Kernel for Stochastic Unit Commitment with Neutral-Atom Hardware Validation
Jiying Chen, Min Lin, Jingwei Wen +2
Quantum hardware is beginning to address structured combinatorial optimisation, but two steps still block practical use: mapping real operational models onto hardware-compatible in…
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.LG2025
Surrogate Modeling via Factorization Machine and Ising Model with Enhanced Higher-Order Interaction Learning
Anbang Wang, Dunbo Cai, Yu Zhang +3
Recently, a surrogate model was proposed that employs a factorization machine to approximate the underlying input-output mapping of the original system, with quantum annealing used…