Academic Journal

Multi-target quantum compilation algorithm

التفاصيل البيبلوغرافية
العنوان: Multi-target quantum compilation algorithm
المؤلفون: Vu Tuan Hai, Nguyen Tan Viet, Jesus Urbaneja, Nguyen Vu Linh, Lan Nguyen Tran, Le Bin Ho
المصدر: Machine Learning: Science and Technology, Vol 5, Iss 4, p 045057 (2024)
بيانات النشر: IOP Publishing, 2024.
سنة النشر: 2024
المجموعة: LCC:Computer engineering. Computer hardware
LCC:Electronic computers. Computer science
مصطلحات موضوعية: genetic algorithm, quantum compilation, quantum architecture search, quantum optimization, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95
الوصف: Quantum compilation is the process of converting a target unitary operation into a trainable unitary represented by a quantum circuit. It has a wide range of applications, including gate optimization, quantum-assisted compiling, quantum state preparation, and quantum dynamic simulation. Traditional quantum compilation usually optimizes circuits for a single target. However, many quantum systems require simultaneous optimization of multiple targets, such as thermal state preparation, time-dependent dynamic simulation, and others. To address this, we develop a multi-target quantum compilation algorithm to improve the performance and flexibility of simulating multiple quantum systems. Our benchmarks and case studies demonstrate the effectiveness of the algorithm, highlighting the importance of multi-target optimization in advancing quantum computing. This work lays the groundwork for further development and evaluation of multi-target quantum compilation algorithms.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2632-2153
Relation: https://doaj.org/toc/2632-2153
DOI: 10.1088/2632-2153/ad9705
URL الوصول: https://doaj.org/article/0204e3d865024868a3ab793dfd672771
رقم الانضمام: edsdoj.0204e3d865024868a3ab793dfd672771
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26322153
DOI:10.1088/2632-2153/ad9705