Splitting quantum measurement shots into separate ensemble averages multiplies the number of training examples for the readout layer, improving forecasting performance in quantum reservoir computing without extra hardware cost.
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
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Reorganizing Quantum Measurement Records Improves Time-Series Prediction
Splitting quantum measurement shots into separate ensemble averages multiplies the number of training examples for the readout layer, improving forecasting performance in quantum reservoir computing without extra hardware cost.