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Enhanced quantum frequency estimation by nonlinear scrambling

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arxiv 2503.01959 v2 pith:HQZPLJIP submitted 2025-03-03 quant-ph nlin.CD

classification quant-phnlin.CD
keywords quantumfrequencyestimationnonlinearsensinginformationprobesenhanced
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Frequency estimation, a cornerstone of basic and applied sciences, has been significantly enhanced by quantum sensing strategies. Despite breakthroughs in quantum-enhanced frequency estimation, key challenges remain: static probes limit flexibility, and the interplay between resource efficiency, sensing precision, and potential enhancements from nonlinear probes remains not fully understood. In this work, we show that dynamically encoding an unknown frequency in a nonlinear quantum electromagnetic field can significantly improve frequency estimation. To provide a fair comparison of resources, we define the energy cost as the figure of merit for our sensing strategy. We further show that specific higher-order nonlinear processes lead to nonlinear-enhanced frequency estimation. This enhancement results from quantum scrambling, where local quantum information spreads across a larger portion of the Hilbert space. We quantify this effect using the Wigner-Yanase skew information, which measures the degree of noncommutativity in the Hamiltonian structure. Our work sheds light on the connection between Wigner-Yanase skew information and quantum sensing, providing a direct method to optimize nonlinear quantum probes.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Probing the Limits of Dispersive Quantum Thermometry with a Nonlinear Mach-Zehnder-Based Quantum Simulator

    quant-ph 2025-07 conditional novelty 7.0 of 10

    For dispersive quantum thermometry with N00N states, the exact quantum Fisher information scales at best linearly with the number of atoms, and N00N photon number gives no Heisenberg advantage.

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