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Intelligent pharmaceutical patent search on a near-term gate-based quantum computer
Pharmaceutical patent analysis is the key to product protection for pharmaceutical companies. In patent claims, a Markush structure is a standard chemical structure drawing with variable substituents. Overlaps between apparently dissimilar Markush structures are nearly unrecognizable when the struct...
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/PMC8742058/ https://www.ncbi.nlm.nih.gov/pubmed/34997034 http://dx.doi.org/10.1038/s41598-021-04031-y |
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author | Wang, Pei-Hua Chen, Jen-Hao Tseng, Yufeng Jane |
author_facet | Wang, Pei-Hua Chen, Jen-Hao Tseng, Yufeng Jane |
author_sort | Wang, Pei-Hua |
collection | PubMed |
description | Pharmaceutical patent analysis is the key to product protection for pharmaceutical companies. In patent claims, a Markush structure is a standard chemical structure drawing with variable substituents. Overlaps between apparently dissimilar Markush structures are nearly unrecognizable when the structures span a broad chemical space. We propose a quantum search-based method which performs an exact comparison between two non-enumerated Markush structures with a constraint satisfaction oracle. The quantum circuit is verified with a quantum simulator and the real effect of noise is estimated using a five-qubit superconductivity-based IBM quantum computer. The possibilities of measuring the correct states can be increased by improving the connectivity of the most computation intensive qubits. Depolarizing error is the most influential error. The quantum method to exactly compares two patents is hard to simulate classically and thus creates a quantum advantage in patent analysis. |
format | Online Article Text |
id | pubmed-8742058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87420582022-01-11 Intelligent pharmaceutical patent search on a near-term gate-based quantum computer Wang, Pei-Hua Chen, Jen-Hao Tseng, Yufeng Jane Sci Rep Article Pharmaceutical patent analysis is the key to product protection for pharmaceutical companies. In patent claims, a Markush structure is a standard chemical structure drawing with variable substituents. Overlaps between apparently dissimilar Markush structures are nearly unrecognizable when the structures span a broad chemical space. We propose a quantum search-based method which performs an exact comparison between two non-enumerated Markush structures with a constraint satisfaction oracle. The quantum circuit is verified with a quantum simulator and the real effect of noise is estimated using a five-qubit superconductivity-based IBM quantum computer. The possibilities of measuring the correct states can be increased by improving the connectivity of the most computation intensive qubits. Depolarizing error is the most influential error. The quantum method to exactly compares two patents is hard to simulate classically and thus creates a quantum advantage in patent analysis. Nature Publishing Group UK 2022-01-07 /pmc/articles/PMC8742058/ /pubmed/34997034 http://dx.doi.org/10.1038/s41598-021-04031-y Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/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 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 Wang, Pei-Hua Chen, Jen-Hao Tseng, Yufeng Jane Intelligent pharmaceutical patent search on a near-term gate-based quantum computer |
title | Intelligent pharmaceutical patent search on a near-term gate-based quantum computer |
title_full | Intelligent pharmaceutical patent search on a near-term gate-based quantum computer |
title_fullStr | Intelligent pharmaceutical patent search on a near-term gate-based quantum computer |
title_full_unstemmed | Intelligent pharmaceutical patent search on a near-term gate-based quantum computer |
title_short | Intelligent pharmaceutical patent search on a near-term gate-based quantum computer |
title_sort | intelligent pharmaceutical patent search on a near-term gate-based quantum computer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742058/ https://www.ncbi.nlm.nih.gov/pubmed/34997034 http://dx.doi.org/10.1038/s41598-021-04031-y |
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