Compression of metrological quantum information in the presence of noise

In quantum metrology, information about unknown parameters <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mrow><a:mrow><a:mi mathvariant="bold-italic">θ</a:mi></a:mrow><a:mo>=</a:mo><a:mo>(</a:mo><a:msub><a:mi>θ</a:mi><a:mn>1</a:mn></a:msub><a:mo>,</a:mo><a:mo>...</a:mo><a:mo>,</a:mo><a:msub><a:mi>θ</a:mi><a:mi>M</a:mi></a:msub><a:mo>)</a:mo></a:mrow></a:math> is accessed by measuring probe states <c:math xmlns:c="http://www.w3.org/1998/Math/MathML"><c:msub><c:mover accent="true"><c:mi>ρ</c:mi><c:mo>̂</c:mo></c:mover><c:mrow><c:mi mathvariant="bold-italic">θ</c:mi></c:mrow></c:msub></c:math>. In experimental settings where copies of <f:math xmlns:f="http://www.w3.org/1998/Math/MathML"><f:msub><f:mover accent="true"><f:mi>ρ</f:mi><f:mo>̂</f:mo></f:mover><f:mrow><f:mi mathvariant="bold-italic">θ</f:mi></f:mrow></f:msub></f:math> can be produced rapidly (e.g., in optics), the information-extraction bottleneck can stem from high postprocessing costs or detector saturation. In these regimes, it is desirable to compress the information encoded in <i:math xmlns:i="http://www.w3.org/1998/Math/MathML"><i:mrow><i:msub><i:mover accent="true"><i:mi>ρ</i:mi><i:mo>̂</i:mo></i:mover><i:mrow><i:mi mathvariant="bold-italic">θ</i:mi></i:mrow></i:msub><i:msup><i:mspace width="0.16em"/><i:mrow><i:mo>⊗</i:mo><i:mi>n</i:mi></i:mrow></i:msup></i:mrow></i:math> into <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"><m:mrow><m:mi>m</m:mi><m:mo>&lt;</m:mo><m:mi>n</m:mi></m:mrow></m:math> copies of a postselected state: <n:math xmlns:n="http://www.w3.org/1998/Math/MathML"><n:mrow><n:msubsup><n:mover accent="true"><n:mi>ρ</n:mi><n:mo>̂</n:mo></n:mover><n:mrow><n:mrow><n:mi mathvariant="bold-italic">θ</n:mi></n:mrow></n:mrow><n:mtext>ps</n:mtext></n:msubsup><n:msup><n:mspace width="0.16em"/><n:mrow><n:mo>⊗</n:mo><n:mi>m</n:mi></n:mrow></n:msup></n:mrow></n:math>. Remarkably, recent works have shown that, in the absence of noise, compression can be lossless, for <r:math xmlns:r="http://www.w3.org/1998/Math/MathML"><r:mrow><r:mi>m</r:mi><r:mo>/</r:mo><r:mi>n</r:mi></r:mrow></r:math> arbitrarily small. Here, we fully characterize the family of filters that enable lossless compression. Further, we study the effect of noise on quantum-metrological information amplification. Motivated by experiments, we consider a popular family of filters, which we show is optimal for qubit probes. Further, we show that, for the optimal filter in this family, compression is still lossless if noise acts after the filter. However, in the presence of depolarizing noise before filtering, compression is lossy. In both cases, information extraction can be implemented significantly better than simply discarding a constant fraction of the states, even in the presence of strong noise. Published by the American Physical Society 2024

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Journal
Physical review. A/Physical review, A
Published
2024-08-15
DOI
https://doi.org/10.1103/physreva.110.022426
Citations
4
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
0.69

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article

Compression of metrological quantum information in the presence of noise

C. H. W. Barnes, Wilfred Salmon, David R. M. Arvidsson-Shukur, Flavio Salvati
4 citations
Physical review. A/Physical review, A
Quantum Information and Cryptography
0.69
article

Compression of metrological quantum information in the presence of noise

C. H. W. Barnes, Wilfred Salmon, David R. M. Arvidsson-Shukur, Flavio Salvati
article en
4 citations

Abstract

In quantum metrology, information about unknown parameters <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mrow><a:mrow><a:mi mathvariant="bold-italic">θ</a:mi></a:mrow><a:mo>=</a:mo><a:mo>(</a:mo><a:msub><a:mi>θ</a:mi><a:mn>1</a:mn></a:msub><a:mo>,</a:mo><a:mo>...</a:mo><a:mo>,</a:mo><a:msub><a:mi>θ</a:mi><a:mi>M</a:mi></a:msub><a:mo>)</a:mo></a:mrow></a:math> is accessed by measuring probe states <c:math xmlns:c="http://www.w3.org/1998/Math/MathML"><c:msub><c:mover accent="true"><c:mi>ρ</c:mi><c:mo>̂</c:mo></c:mover><c:mrow><c:mi mathvariant="bold-italic">θ</c:mi></c:mrow></c:msub></c:math>. In experimental settings where copies of <f:math xmlns:f="http://www.w3.org/1998/Math/MathML"><f:msub><f:mover accent="true"><f:mi>ρ</f:mi><f:mo>̂</f:mo></f:mover><f:mrow><f:mi mathvariant="bold-italic">θ</f:mi></f:mrow></f:msub></f:math> can be produced rapidly (e.g., in optics), the information-extraction bottleneck can stem from high postprocessing costs or detector saturation. In these regimes, it is desirable to compress the information encoded in <i:math xmlns:i="http://www.w3.org/1998/Math/MathML"><i:mrow><i:msub><i:mover accent="true"><i:mi>ρ</i:mi><i:mo>̂</i:mo></i:mover><i:mrow><i:mi mathvariant="bold-italic">θ</i:mi></i:mrow></i:msub><i:msup><i:mspace width="0.16em"/><i:mrow><i:mo>⊗</i:mo><i:mi>n</i:mi></i:mrow></i:msup></i:mrow></i:math> into <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"><m:mrow><m:mi>m</m:mi><m:mo>&lt;</m:mo><m:mi>n</m:mi></m:mrow></m:math> copies of a postselected state: <n:math xmlns:n="http://www.w3.org/1998/Math/MathML"><n:mrow><n:msubsup><n:mover accent="true"><n:mi>ρ</n:mi><n:mo>̂</n:mo></n:mover><n:mrow><n:mrow><n:mi mathvariant="bold-italic">θ</n:mi></n:mrow></n:mrow><n:mtext>ps</n:mtext></n:msubsup><n:msup><n:mspace width="0.16em"/><n:mrow><n:mo>⊗</n:mo><n:mi>m</n:mi></n:mrow></n:msup></n:mrow></n:math>. Remarkably, recent works have shown that, in the absence of noise, compression can be lossless, for <r:math xmlns:r="http://www.w3.org/1998/Math/MathML"><r:mrow><r:mi>m</r:mi><r:mo>/</r:mo><r:mi>n</r:mi></r:mrow></r:math> arbitrarily small. Here, we fully characterize the family of filters that enable lossless compression. Further, we study the effect of noise on quantum-metrological information amplification. Motivated by experiments, we consider a popular family of filters, which we show is optimal for qubit probes. Further, we show that, for the optimal filter in this family, compression is still lossless if noise acts after the filter. However, in the presence of depolarizing noise before filtering, compression is lossy. In both cases, information extraction can be implemented significantly better than simply discarding a constant fraction of the states, even in the presence of strong noise. Published by the American Physical Society 2024

Physical review. A/Physical review, AVol. 110(2)
University of Cambridge (GB), Hitachi (United Kingdom) (GB), Hitachi (Japan) (JP)
Hitachi, Stiftelsen Lars Hiertas Minne, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 25%
Quantum Information and Cryptography
0.69
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