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Implementing efficient selective quantum process tomography of superconducting quantum gates on IBM quantum experience
The experimental implementation of selective quantum process tomography (SQPT) involves computing individual elements of the process matrix with the help of a special set of states called quantum 2-design states. However, the number of experimental settings required to prepare input states from quan...
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/PMC8901781/ https://www.ncbi.nlm.nih.gov/pubmed/35256689 http://dx.doi.org/10.1038/s41598-022-07721-3 |
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author | Gaikwad, Akshay Shende, Krishna Arvind Dorai, Kavita |
author_facet | Gaikwad, Akshay Shende, Krishna Arvind Dorai, Kavita |
author_sort | Gaikwad, Akshay |
collection | PubMed |
description | The experimental implementation of selective quantum process tomography (SQPT) involves computing individual elements of the process matrix with the help of a special set of states called quantum 2-design states. However, the number of experimental settings required to prepare input states from quantum 2-design states to selectively and precisely compute a desired element of the process matrix is still high, and hence constructing the corresponding unitary operations in the lab is a daunting task. In order to reduce the experimental complexity, we mathematically reformulated the standard SQPT problem, which we term the modified SQPT (MSQPT) method. We designed the generalized quantum circuit to prepare the required set of input states and formulated an efficient measurement strategy aimed at minimizing the experimental cost of SQPT. We experimentally demonstrated the MSQPT protocol on the IBM QX2 cloud quantum processor and selectively characterized various two- and three-qubit quantum gates. |
format | Online Article Text |
id | pubmed-8901781 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89017812022-03-08 Implementing efficient selective quantum process tomography of superconducting quantum gates on IBM quantum experience Gaikwad, Akshay Shende, Krishna Arvind Dorai, Kavita Sci Rep Article The experimental implementation of selective quantum process tomography (SQPT) involves computing individual elements of the process matrix with the help of a special set of states called quantum 2-design states. However, the number of experimental settings required to prepare input states from quantum 2-design states to selectively and precisely compute a desired element of the process matrix is still high, and hence constructing the corresponding unitary operations in the lab is a daunting task. In order to reduce the experimental complexity, we mathematically reformulated the standard SQPT problem, which we term the modified SQPT (MSQPT) method. We designed the generalized quantum circuit to prepare the required set of input states and formulated an efficient measurement strategy aimed at minimizing the experimental cost of SQPT. We experimentally demonstrated the MSQPT protocol on the IBM QX2 cloud quantum processor and selectively characterized various two- and three-qubit quantum gates. Nature Publishing Group UK 2022-03-07 /pmc/articles/PMC8901781/ /pubmed/35256689 http://dx.doi.org/10.1038/s41598-022-07721-3 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 Gaikwad, Akshay Shende, Krishna Arvind Dorai, Kavita Implementing efficient selective quantum process tomography of superconducting quantum gates on IBM quantum experience |
title | Implementing efficient selective quantum process tomography of superconducting quantum gates on IBM quantum experience |
title_full | Implementing efficient selective quantum process tomography of superconducting quantum gates on IBM quantum experience |
title_fullStr | Implementing efficient selective quantum process tomography of superconducting quantum gates on IBM quantum experience |
title_full_unstemmed | Implementing efficient selective quantum process tomography of superconducting quantum gates on IBM quantum experience |
title_short | Implementing efficient selective quantum process tomography of superconducting quantum gates on IBM quantum experience |
title_sort | implementing efficient selective quantum process tomography of superconducting quantum gates on ibm quantum experience |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901781/ https://www.ncbi.nlm.nih.gov/pubmed/35256689 http://dx.doi.org/10.1038/s41598-022-07721-3 |
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