arxivcs.ETeess.SP2026-07-14
A Comparative Analysis of Ising Formulations for Neuromorphic Maximum-Likelihood Channel Decoding
George N. Katsaros, Morgan Sabine, Konstantinos Nikitopoulos
Neuromorphic computing has so far been driven predominantly by machine-learning workloads, yet its underlying properties also make it particularly well suited to combinatorial optimization problems expressed in Ising or QUBO form. While neuromorphic Ising solvers have been demons…