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.
Nonlinear Input Transformations Are Ubiquitous in Quantum Reservoir Computing
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.