Hybrid quantum training discovers parity bases that improve accuracy 24-42% on binary tasks and recover performance on text benchmarks, with all inference remaining classical.
Pmlb v1.0: an open-source dataset collection for benchmarking machine learning methods
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Quantum Parity Representations: Learnable Basis Discovery, Encoders, and Shadow Deployment
Hybrid quantum training discovers parity bases that improve accuracy 24-42% on binary tasks and recover performance on text benchmarks, with all inference remaining classical.