Quantum computational displacement sensing with trained parameterized circuits achieves up to 15 percentage points higher binary classification accuracy than conventional quantum sensing plus classical postprocessing on superconducting hardware.
Due to the analog nature of the pulse, this operation imparts a small conditional displacement, orthogonal to the direction of the unconditional displacement
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Quantum computational displacement sensing
Quantum computational displacement sensing with trained parameterized circuits achieves up to 15 percentage points higher binary classification accuracy than conventional quantum sensing plus classical postprocessing on superconducting hardware.