Hamiltonian-encoded quantum reservoir computing achieves ~98% MNIST accuracy with 5-6 qubits on both analog and digital platforms, with dissipation constructively suppressing scrambling at long times.
McClean, Sergio Boixo, Vadim N
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Classical machine learning models outperform variational quantum models on population-level prediction of heat-related physiological events, while quantum models still exhibit non-trivial learning on the harmonized datasets.
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Robust Quantum Learning through Hamiltonian Reservoir Computing
Hamiltonian-encoded quantum reservoir computing achieves ~98% MNIST accuracy with 5-6 qubits on both analog and digital platforms, with dissipation constructively suppressing scrambling at long times.
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Classical and Quantum Machine Learning for Population-Level Prediction of Heat-Related Physiological Events
Classical machine learning models outperform variational quantum models on population-level prediction of heat-related physiological events, while quantum models still exhibit non-trivial learning on the harmonized datasets.