Reservoir computing using polynomial features from measurement signals achieves up to 50% error reduction on single-qubit and 11% on five-qubit datasets with 100x fewer multiplications than neural networks while reducing crosstalk.
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Superconducting Qubit Readout Using Next-Generation Reservoir Computing
Reservoir computing using polynomial features from measurement signals achieves up to 50% error reduction on single-qubit and 11% on five-qubit datasets with 100x fewer multiplications than neural networks while reducing crosstalk.