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A Precise Error Bound for Quantum Phase Estimation

Quantum phase estimation is one of the key algorithms in the field of quantum computing, but up until now, only approximate expressions have been derived for the probability of error. We revisit these derivations, and find that by ensuring symmetry in the error definitions, an exact formula can be f...

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Autores principales: Chappell, James M., Lohe, Max A., von Smekal, Lorenz, Iqbal, Azhar, Abbott, Derek
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3091865/
https://www.ncbi.nlm.nih.gov/pubmed/21573006
http://dx.doi.org/10.1371/journal.pone.0019663
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author Chappell, James M.
Lohe, Max A.
von Smekal, Lorenz
Iqbal, Azhar
Abbott, Derek
author_facet Chappell, James M.
Lohe, Max A.
von Smekal, Lorenz
Iqbal, Azhar
Abbott, Derek
author_sort Chappell, James M.
collection PubMed
description Quantum phase estimation is one of the key algorithms in the field of quantum computing, but up until now, only approximate expressions have been derived for the probability of error. We revisit these derivations, and find that by ensuring symmetry in the error definitions, an exact formula can be found. This new approach may also have value in solving other related problems in quantum computing, where an expected error is calculated. Expressions for two special cases of the formula are also developed, in the limit as the number of qubits in the quantum computer approaches infinity and in the limit as the extra added qubits to improve reliability goes to infinity. It is found that this formula is useful in validating computer simulations of the phase estimation procedure and in avoiding the overestimation of the number of qubits required in order to achieve a given reliability. This formula thus brings improved precision in the design of quantum computers.
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spelling pubmed-30918652011-05-13 A Precise Error Bound for Quantum Phase Estimation Chappell, James M. Lohe, Max A. von Smekal, Lorenz Iqbal, Azhar Abbott, Derek PLoS One Research Article Quantum phase estimation is one of the key algorithms in the field of quantum computing, but up until now, only approximate expressions have been derived for the probability of error. We revisit these derivations, and find that by ensuring symmetry in the error definitions, an exact formula can be found. This new approach may also have value in solving other related problems in quantum computing, where an expected error is calculated. Expressions for two special cases of the formula are also developed, in the limit as the number of qubits in the quantum computer approaches infinity and in the limit as the extra added qubits to improve reliability goes to infinity. It is found that this formula is useful in validating computer simulations of the phase estimation procedure and in avoiding the overestimation of the number of qubits required in order to achieve a given reliability. This formula thus brings improved precision in the design of quantum computers. Public Library of Science 2011-05-10 /pmc/articles/PMC3091865/ /pubmed/21573006 http://dx.doi.org/10.1371/journal.pone.0019663 Text en Chappell et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Chappell, James M.
Lohe, Max A.
von Smekal, Lorenz
Iqbal, Azhar
Abbott, Derek
A Precise Error Bound for Quantum Phase Estimation
title A Precise Error Bound for Quantum Phase Estimation
title_full A Precise Error Bound for Quantum Phase Estimation
title_fullStr A Precise Error Bound for Quantum Phase Estimation
title_full_unstemmed A Precise Error Bound for Quantum Phase Estimation
title_short A Precise Error Bound for Quantum Phase Estimation
title_sort precise error bound for quantum phase estimation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3091865/
https://www.ncbi.nlm.nih.gov/pubmed/21573006
http://dx.doi.org/10.1371/journal.pone.0019663
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