Prabhjot Singh

How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits

Late fusion is an efficient, noise-robust, self-characterizing alternative to reconstruction for circuit-cutting QML and claims advantage over classical machine learning - consistent with recent benchmarking, quantum offers no accuracy edge on these datasets.