Solving Combinatorial Optimization Problems on Quantum Computers

Author:

Korolyov Vyacheslav1ORCID,Khodzinskyi Oleksandr1

Affiliation:

1. V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine

Abstract

Introduction. Quantum computers provide several times faster solutions to several NP-hard combinatorial optimization problems in comparison with computing clusters. The trend of doubling the number of qubits of quantum computers every year suggests the existence of an analog of Moore's law for quantum computers, which means that soon they will also be able to get a significant acceleration of solving many applied large-scale problems. The purpose of the article is to review methods for creating algorithms of quantum computer mathematics for combinatorial optimization problems and to analyze the influence of the qubit-to-qubit coupling and connections strength on the performance of quantum data processing. Results. The article offers approaches to the classification of algorithms for solving these problems from the perspective of quantum computer mathematics. It is shown that the number and strength of connections between qubits affect the dimensionality of problems solved by algorithms of quantum computer mathematics. It is proposed to consider two approaches to calculating combinatorial optimization problems on quantum computers: universal, using quantum gates, and specialized, based on a parameterization of physical processes. Examples of constructing a half-adder for two qubits of an IBM quantum processor and an example of solving the problem of finding the maximum independent set for the IBM and D-wave quantum computers are given. Conclusions. Today, quantum computers are available online through cloud services for research and commercial use. At present, quantum processors do not have enough qubits to replace semiconductor computers in universal computing. The search for a solution to a combinatorial optimization problem is performed by achieving the minimum energy of the system of coupled qubits, on which the task is mapped, and the data are the initial conditions. Approaches to solving combinatorial optimization problems on quantum computers are considered and the results of solving the problem of finding the maximum independent set on the IBM and D-wave quantum computers are given. Keywords: quantum computer, quantum computer mathematics, qubit, maximal independent set for a graph.

Publisher

V.M. Glushkov Institute of Cybernetics

Subject

General Medicine

Reference13 articles.

1. Moran C.C. Mastering Quantum Computing with IBM QX. Packt: Birmingham, 2019.

2. Vos J. Quantum Computing for Developers: A Java-based introduction. Manning: Shelter Island, 2020.

3. Johnston E.R., Harrigan N., Gimeno-Segovia M. Programming Quantum Computers. Essential Algorithms and Code Samples. O'Reilly: Sebastopol, 2019.

4. Korolyov V.Yu. Multiple-use cruise missile group routing. Upravlyayushchye systemy i mashyny. 2019. 2. P. 16 – 24. (in Ukrainian) https://doi.org/10.15407/usim.2019.02.016

5. Hulyanitsky LF, Korolyov V.Yu., Ogurtsov M.I., Khodzinskiy O.M. The problem of routing UAV groups in the search and monitoring problems. Kompʹyuternaya matematyka. 2018. 2. P. 38 – 47. (in Ukrainian) http://dspace.nbuv.gov.ua/handle/123456789/161884

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3