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Taming numerical errors in simulations of continuous variable non-Gaussian state preparation
Numerical simulation of continuous variable quantum state preparation is a necessary tool for optimization of existing quantum information processing protocols. A powerful instrument for such simulation is the numerical computation in the Fock state representation. It unavoidably uses an approximati...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532453/ https://www.ncbi.nlm.nih.gov/pubmed/36195727 http://dx.doi.org/10.1038/s41598-022-19506-9 |
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author | Provazník, Jan Filip, Radim Marek, Petr |
author_facet | Provazník, Jan Filip, Radim Marek, Petr |
author_sort | Provazník, Jan |
collection | PubMed |
description | Numerical simulation of continuous variable quantum state preparation is a necessary tool for optimization of existing quantum information processing protocols. A powerful instrument for such simulation is the numerical computation in the Fock state representation. It unavoidably uses an approximation of the infinite-dimensional Fock space by finite complex vector spaces implementable with classical digital computers. In this approximation we analyze the accuracy of several currently available methods for computation of the truncated coherent displacement operator. To overcome their limitations we propose an alternative with improved accuracy based on the standard matrix exponential. We then employ the method in analysis of non-Gaussian state preparation scheme based on coherent displacement of a two mode squeezed vacuum with subsequent photon counting measurement. We compare different detection mechanisms, including avalanche photodiodes, their cascades, and photon number resolving detectors in the context of engineering non-linearly squeezed cubic states and construction of qubit-like superpositions between vacuum and single photon states. |
format | Online Article Text |
id | pubmed-9532453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95324532022-10-06 Taming numerical errors in simulations of continuous variable non-Gaussian state preparation Provazník, Jan Filip, Radim Marek, Petr Sci Rep Article Numerical simulation of continuous variable quantum state preparation is a necessary tool for optimization of existing quantum information processing protocols. A powerful instrument for such simulation is the numerical computation in the Fock state representation. It unavoidably uses an approximation of the infinite-dimensional Fock space by finite complex vector spaces implementable with classical digital computers. In this approximation we analyze the accuracy of several currently available methods for computation of the truncated coherent displacement operator. To overcome their limitations we propose an alternative with improved accuracy based on the standard matrix exponential. We then employ the method in analysis of non-Gaussian state preparation scheme based on coherent displacement of a two mode squeezed vacuum with subsequent photon counting measurement. We compare different detection mechanisms, including avalanche photodiodes, their cascades, and photon number resolving detectors in the context of engineering non-linearly squeezed cubic states and construction of qubit-like superpositions between vacuum and single photon states. Nature Publishing Group UK 2022-10-04 /pmc/articles/PMC9532453/ /pubmed/36195727 http://dx.doi.org/10.1038/s41598-022-19506-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Provazník, Jan Filip, Radim Marek, Petr Taming numerical errors in simulations of continuous variable non-Gaussian state preparation |
title | Taming numerical errors in simulations of continuous variable non-Gaussian state preparation |
title_full | Taming numerical errors in simulations of continuous variable non-Gaussian state preparation |
title_fullStr | Taming numerical errors in simulations of continuous variable non-Gaussian state preparation |
title_full_unstemmed | Taming numerical errors in simulations of continuous variable non-Gaussian state preparation |
title_short | Taming numerical errors in simulations of continuous variable non-Gaussian state preparation |
title_sort | taming numerical errors in simulations of continuous variable non-gaussian state preparation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532453/ https://www.ncbi.nlm.nih.gov/pubmed/36195727 http://dx.doi.org/10.1038/s41598-022-19506-9 |
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