L0-Regularized Compressed Sensing with Mean-Field Coherent Ising Machines

A physics-inspired heuristic model called Mean-Field Zeeman Coherent Ising Machine (MFZ-CIM) is proposed to efficiently solve L0-regularized compressed sensing problems, achieving similar performance to the more computationally expensive Positive-P Coherent Ising Machine (CIM) model, while enabling digital hardware implementation.