دورية أكاديمية

Gate-based quantum computing for protein design.

التفاصيل البيبلوغرافية
العنوان: Gate-based quantum computing for protein design.
المؤلفون: Mohammad Hassan Khatami, Udson C Mendes, Nathan Wiebe, Philip M Kim
المصدر: PLoS Computational Biology, Vol 19, Iss 4, p e1011033 (2023)
بيانات النشر: Public Library of Science (PLoS), 2023.
سنة النشر: 2023
المجموعة: LCC:Biology (General)
مصطلحات موضوعية: Biology (General), QH301-705.5
الوصف: Protein design is a technique to engineer proteins by permuting amino acids in the sequence to obtain novel functionalities. However, exploring all possible combinations of amino acids is generally impossible due to the exponential growth of possibilities with the number of designable sites. The present work introduces circuits implementing a pure quantum approach, Grover's algorithm, to solve protein design problems. Our algorithms can adjust to implement any custom pair-wise energy tables and protein structure models. Moreover, the algorithm's oracle is designed to consist of only adder functions. Quantum computer simulators validate the practicality of our circuits, containing up to 234 qubits. However, a smaller circuit is implemented on real quantum devices. Our results show that using [Formula: see text] iterations, the circuits find the correct results among all N possibilities, providing the expected quadratic speed up of Grover's algorithm over classical methods (i.e., [Formula: see text]).
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1553-734X
1553-7358
Relation: https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358
DOI: 10.1371/journal.pcbi.1011033
URL الوصول: https://doaj.org/article/d895d72c14004ca78d8615e2a4e97cf4
رقم الأكسشن: edsdoj.895d72c14004ca78d8615e2a4e97cf4
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1553734X
15537358
DOI:10.1371/journal.pcbi.1011033