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.
For clarity, we do not include the axis labels on the 2D plots of the function of the qubit-excitation probability
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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.