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Circuit Depth Reduction for Gate-Model Quantum Computers

Quantum computers utilize the fundamentals of quantum mechanics to solve computational problems more efficiently than traditional computers. Gate-model quantum computers are fundamental to implement near-term quantum computer architectures and quantum devices. Here, a quantum algorithm is defined fo...

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Detalles Bibliográficos
Autores principales: Gyongyosi, Laszlo, Imre, Sandor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343887/
https://www.ncbi.nlm.nih.gov/pubmed/32641766
http://dx.doi.org/10.1038/s41598-020-67014-5
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author Gyongyosi, Laszlo
Imre, Sandor
author_facet Gyongyosi, Laszlo
Imre, Sandor
author_sort Gyongyosi, Laszlo
collection PubMed
description Quantum computers utilize the fundamentals of quantum mechanics to solve computational problems more efficiently than traditional computers. Gate-model quantum computers are fundamental to implement near-term quantum computer architectures and quantum devices. Here, a quantum algorithm is defined for the circuit depth reduction of gate-model quantum computers. The proposed solution evaluates the reduced time complexity equivalent of a reference quantum circuit. We prove the complexity of the quantum algorithm and the achievable reduction in circuit depth. The method provides a tractable solution to reduce the time complexity and physical layer costs of quantum computers.
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spelling pubmed-73438872020-07-10 Circuit Depth Reduction for Gate-Model Quantum Computers Gyongyosi, Laszlo Imre, Sandor Sci Rep Article Quantum computers utilize the fundamentals of quantum mechanics to solve computational problems more efficiently than traditional computers. Gate-model quantum computers are fundamental to implement near-term quantum computer architectures and quantum devices. Here, a quantum algorithm is defined for the circuit depth reduction of gate-model quantum computers. The proposed solution evaluates the reduced time complexity equivalent of a reference quantum circuit. We prove the complexity of the quantum algorithm and the achievable reduction in circuit depth. The method provides a tractable solution to reduce the time complexity and physical layer costs of quantum computers. Nature Publishing Group UK 2020-07-08 /pmc/articles/PMC7343887/ /pubmed/32641766 http://dx.doi.org/10.1038/s41598-020-67014-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Gyongyosi, Laszlo
Imre, Sandor
Circuit Depth Reduction for Gate-Model Quantum Computers
title Circuit Depth Reduction for Gate-Model Quantum Computers
title_full Circuit Depth Reduction for Gate-Model Quantum Computers
title_fullStr Circuit Depth Reduction for Gate-Model Quantum Computers
title_full_unstemmed Circuit Depth Reduction for Gate-Model Quantum Computers
title_short Circuit Depth Reduction for Gate-Model Quantum Computers
title_sort circuit depth reduction for gate-model quantum computers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343887/
https://www.ncbi.nlm.nih.gov/pubmed/32641766
http://dx.doi.org/10.1038/s41598-020-67014-5
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