Optimal Trace Distance and Fidelity Estimations for Pure Quantum States

Measuring the distinguishability between quantum states is a basic problem in quantum information theory. In this paper, we develop optimal quantum algorithms that estimate both the trace distance and the (square root) fidelity between pure states to within additive error <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula> using <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Theta (1/\varepsilon)$ </tex-math></inline-formula> queries to their state-preparation circuits, quadratically improving the long-standing folklore <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$O(1/\varepsilon ^{2}) $ </tex-math></inline-formula>. At the heart of our construction, is an algorithmic tool for quantum square root amplitude estimation, which generalizes the well-known quantum amplitude estimation.

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Institutions

Publication Details

Journal
IEEE Transactions on Information Theory
Published
2024-08-22
DOI
https://doi.org/10.1109/tit.2024.3447915
Citations
8
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
2.78

Funders

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article

Optimal Trace Distance and Fidelity Estimations for Pure Quantum States

Qisheng Wang
8 citations
IEEE Transactions on Information Theory
Quantum Information and Cryptography
2.78
article

Optimal Trace Distance and Fidelity Estimations for Pure Quantum States

Qisheng Wang
article en
8 citations

Abstract

Measuring the distinguishability between quantum states is a basic problem in quantum information theory. In this paper, we develop optimal quantum algorithms that estimate both the trace distance and the (square root) fidelity between pure states to within additive error <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula> using <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Theta (1/\varepsilon)$ </tex-math></inline-formula> queries to their state-preparation circuits, quadratically improving the long-standing folklore <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$O(1/\varepsilon ^{2}) $ </tex-math></inline-formula>. At the heart of our construction, is an algorithmic tool for quantum square root amplitude estimation, which generalizes the well-known quantum amplitude estimation.

IEEE Transactions on Information TheoryVol. 70(12)
Nagoya University (JP)
Ministry of Education, Culture, Sports, Science and Technology
Openalex Percentile: Top 8%
Quantum Information and Cryptography
2.78
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