Layer-wise QUBO-Based Training of CNN Classifiers for Quantum Annealing

Researchers propose a new quantum annealing framework for training CNN classifiers that avoids gradient-based optimization by using Quadratic Unconstrained Binary Optimization (QUBO). The method shows competitive performance with classical approaches on image classification benchmarks while remaining compatible with current D-Wave quantum hardware.