Quantum metrology using quantum combs and tensor network formalism

Abstract We develop an efficient algorithm for determining optimal adaptive quantum estimation protocols with arbitrary quantum control operations between subsequent uses of a probed channel.We introduce a tensor network representation of an estimation strategy, which drastically reduces the time and memory consumption of the algorithm, and allows us to analyze metrological protocols involving up to N = 50 qubit channel uses, whereas the state-of-the-art approaches are limited to N < 5. The method is applied to study the performance of the optimal adaptive metrological protocols in presence of various noise types, including correlated noise.

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Publication Details

Journal
New Journal of Physics
Published
2025-01-01
DOI
https://doi.org/10.1088/1367-2630/ada8d1
Citations
11
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
27.29

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Quantum metrology using quantum combs and tensor network formalism

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Quantum metrology using quantum combs and tensor network formalism

Stanisław Kurdziałek, Rafał Demkowicz-Dobrzański, Sagnik Chakraborty, Joanna Majsak, Piotr Dulian
article en
11 citations

Abstract

Abstract We develop an efficient algorithm for determining optimal adaptive quantum estimation protocols with arbitrary quantum control operations between subsequent uses of a probed channel.We introduce a tensor network representation of an estimation strategy, which drastically reduces the time and memory consumption of the algorithm, and allows us to analyze metrological protocols involving up to N = 50 qubit channel uses, whereas the state-of-the-art approaches are limited to N < 5. The method is applied to study the performance of the optimal adaptive metrological protocols in presence of various noise types, including correlated noise.

New Journal of PhysicsVol. 27(1)
Universidad Complutense de Madrid (ES), Center for Theoretical Physics (PL), Technology Innovation Institute (AE), University of Warsaw (PL), Polish Academy of Sciences (PL)
Narodowe Centrum Nauki
Openalex Percentile: Top 1%
Anomaly Detection Techniques and Applications
27.29
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