Global sensing and its impact for quantum many-body probes with criticality

• URL: http://arxiv.org/abs/2102.03843v1
• Date: Sun, 7 Feb 2021 16:40:17 GMT
• Title: Global sensing and its impact for quantum many-body probes with criticality
• Authors: Victor Montenegro, Utkarsh Mishra, Abolfazl Bayat
• Abstract summary: Most quantum sensing protocols operate efficiently only when the unknown parameters vary within a very narrow region. In many-body probes, in which extra tunable parameters exist, our protocol can tune the performance for harnessing the quantum criticality. We show that even a simple magnetization measurement significantly benefits from our optimization and moderately delivers the theoretical precision.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum sensing is one of the key areas which exemplifies the superiority of quantum technologies. Nonetheless, most quantum sensing protocols operate efficiently only when the unknown parameters vary within a very narrow region, i.e., local sensing. Here, we provide a systematic formulation for quantifying the precision of a probe for multi-parameter global sensing when there is no prior information about the parameters. In many-body probes, in which extra tunable parameters exist, our protocol can tune the performance for harnessing the quantum criticality over arbitrarily large sensing intervals. For the single-parameter sensing, our protocol optimizes a control field such that an Ising probe is tuned to always operate around its criticality. This significantly enhances the performance of the probe even when the interval of interest is so large that the precision is bounded by the standard limit. For the multi-parameter case, our protocol optimizes the control fields such that the probe operates at the most efficient point along its critical line. Interestingly, for an Ising probe, it is predominantly determined by the longitudinal field. Finally, we show that even a simple magnetization measurement significantly benefits from our optimization and moderately delivers the theoretical precision.

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