Hybrid quantum reservoir and projected kernel models report 37-62% MAE reductions versus classical baselines for multi-output energy time-series on NISQ hardware and simulators.
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Hybrid Quantum-Classical Machine Learning Algorithms for Multi-Output Time-Series Forecasting at Utility Scale
Hybrid quantum reservoir and projected kernel models report 37-62% MAE reductions versus classical baselines for multi-output energy time-series on NISQ hardware and simulators.