Cargando…
Implementation of quantum compression on IBM quantum computers
Advances in development of quantum computing processors brought ample opportunities to test the performance of various quantum algorithms with practical implementations. In this paper we report on implementations of quantum compression algorithm that can efficiently compress unknown quantum informat...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991190/ https://www.ncbi.nlm.nih.gov/pubmed/35393490 http://dx.doi.org/10.1038/s41598-022-09881-8 |
_version_ | 1784683526544687104 |
---|---|
author | Pivoluska, Matej Plesch, Martin |
author_facet | Pivoluska, Matej Plesch, Martin |
author_sort | Pivoluska, Matej |
collection | PubMed |
description | Advances in development of quantum computing processors brought ample opportunities to test the performance of various quantum algorithms with practical implementations. In this paper we report on implementations of quantum compression algorithm that can efficiently compress unknown quantum information. We restricted ourselves to compression of three pure qubits into two qubits, as the complexity of even such a simple implementation is barely within the reach of today’s quantum processors. We implemented the algorithm on IBM quantum processors with two different topological layouts—a fully connected triangle processor and a partially connected line processor. It turns out that the incomplete connectivity of the line processor affects the performance only minimally. On the other hand, it turns out that the transpilation, i.e. compilation of the circuit into gates physically available to the quantum processor, crucially influences the result. We also have seen that the compression followed by immediate decompression is, even for such a simple case, on the edge or even beyond the capabilities of currently available quantum processors. |
format | Online Article Text |
id | pubmed-8991190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89911902022-04-11 Implementation of quantum compression on IBM quantum computers Pivoluska, Matej Plesch, Martin Sci Rep Article Advances in development of quantum computing processors brought ample opportunities to test the performance of various quantum algorithms with practical implementations. In this paper we report on implementations of quantum compression algorithm that can efficiently compress unknown quantum information. We restricted ourselves to compression of three pure qubits into two qubits, as the complexity of even such a simple implementation is barely within the reach of today’s quantum processors. We implemented the algorithm on IBM quantum processors with two different topological layouts—a fully connected triangle processor and a partially connected line processor. It turns out that the incomplete connectivity of the line processor affects the performance only minimally. On the other hand, it turns out that the transpilation, i.e. compilation of the circuit into gates physically available to the quantum processor, crucially influences the result. We also have seen that the compression followed by immediate decompression is, even for such a simple case, on the edge or even beyond the capabilities of currently available quantum processors. Nature Publishing Group UK 2022-04-07 /pmc/articles/PMC8991190/ /pubmed/35393490 http://dx.doi.org/10.1038/s41598-022-09881-8 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 Pivoluska, Matej Plesch, Martin Implementation of quantum compression on IBM quantum computers |
title | Implementation of quantum compression on IBM quantum computers |
title_full | Implementation of quantum compression on IBM quantum computers |
title_fullStr | Implementation of quantum compression on IBM quantum computers |
title_full_unstemmed | Implementation of quantum compression on IBM quantum computers |
title_short | Implementation of quantum compression on IBM quantum computers |
title_sort | implementation of quantum compression on ibm quantum computers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991190/ https://www.ncbi.nlm.nih.gov/pubmed/35393490 http://dx.doi.org/10.1038/s41598-022-09881-8 |
work_keys_str_mv | AT pivoluskamatej implementationofquantumcompressiononibmquantumcomputers AT pleschmartin implementationofquantumcompressiononibmquantumcomputers |