https://scholars.lib.ntu.edu.tw/handle/123456789/607490
標題: | Intelligent pharmaceutical patent search on a near-term gate-based quantum computer | 作者: | Wang P.-H Chen J.-H YUFENG JANE TSENG |
公開日期: | 2022 | 卷: | 12 | 期: | 1 | 來源出版物: | Scientific Reports | 摘要: | 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. ? 2022, The Author(s). |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122430837&doi=10.1038%2fs41598-021-04031-y&partnerID=40&md5=caf333ff98af3e8cd09d3c589716c05d https://scholars.lib.ntu.edu.tw/handle/123456789/607490 |
ISSN: | 20452322 | DOI: | 10.1038/s41598-021-04031-y |
顯示於: | 資訊工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。