Single Qubit Coupled to a Conventional Sensor Delivers 10^7-Fold Measurement Reduction in Experiment
Researchers show that coupling one controllable qubit to an otherwise conventional sensor exponentially reduces the measurements needed to learn classical signals, with rigorous advantages for learning Fourier coefficients, extracting temporal correlations from time-varying signals, and estimating transformations of observables. Using a superconducting cavity-qubit architecture, they experimentally demonstrated 10^7-fold reductions in measurement count for Fourier-amplitude and time-varying signal learning, with simulated gains in weak-signal dark matter detection and wireless communication. The underlying framework, Quantum Phase-Space Inference, converts experimental objectives and constraints into tight lower bounds plus optimal algorithms and emits a certificate of quantum advantage — extending beyond regimes captured by quantum Fisher information.
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