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Optimal probes and error-correction schemes in multi-parameter quantum metrology

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arxiv 1901.00896 v4 pith:QJKGQQXP submitted 2019-01-03 quant-ph

classification quant-ph
keywords estimationheisenbergmulti-parameteroptimalparametersprotocolsquantumscaling
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We derive a necessary and sufficient condition for the possibility of achieving the Heisenberg scaling in general adaptive multi-parameter estimation schemes in presence of Markovian noise. In situations where the Heisenberg scaling is achievable, we provide a semidefinite program to identify the optimal quantum error correcting (QEC) protocol that yields the best estimation precision. We overcome the technical challenges associated with potential incompatibility of the measurement optimally extracting information on different parameters by utilizing the Holevo Cram\'er-Rao (HCR) bound for pure states. We provide examples of significant advantages offered by our joint-QEC protocols, that sense all the parameters utilizing a single error-corrected subspace, over separate-QEC protocols where each parameter is effectively sensed in a separate subspace.

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Cited by 2 Pith papers

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

  1. Measurement incompatibility in Bayesian multiparameter quantum estimation

    quant-ph 2025-11 accept novelty 7.0 of 10

    Measurement incompatibility at most doubles the minimum mean-square loss in Bayesian multiparameter quantum estimation, relative to the symmetric-posterior-mean bound.

  2. Selective and noise-resilient wave estimation with quantum sensor networks

    quant-ph 2024-12 conditional novelty 7.0 of 10

    A constructive orthogonalization method tailors quantum sensor networks to ignore chosen noise waves while retaining Heisenberg-limited sensitivity to a signal wave, with exponential advantage over product states unde...

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