QOPTec: a modular platform for benchmarking quantum algorithms through combinatorial optimization problems

IF 1.9 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2026-02-01 Epub Date: 2026-01-09 DOI:10.1016/j.softx.2026.102507

Pablo Miranda-Rodríguez, Eneko Osaba

引用次数: 0

Abstract

Combinatorial optimization is a critical field in many applications that remains challenging due to its general computational complexity. Quantum computing is believed to be a promising alternative to classical methods to solve these types of problems. We introduce QOPTec, a Python library for benchmarking optimization problems using quantum or hybrid solvers. QOPTec offers a simple, extensible framework for reproducible evaluation of solver performance. By enabling integration of new problems and algorithms, the tool aims to lower the entry barrier to quantum optimization and supports systematic studies of different solver approaches, helping assess their practical potential as quantum technologies evolve.

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QOPTec：通过组合优化问题对量子算法进行基准测试的模块化平台

组合优化是许多应用中的一个关键领域，由于其一般的计算复杂性，仍然具有挑战性。量子计算被认为是解决这类问题的经典方法的一个有前途的替代方案。我们介绍QOPTec，一个Python库，用于使用量子或混合求解器对优化问题进行基准测试。QOPTec为求解器性能的可重复评估提供了一个简单的、可扩展的框架。通过整合新问题和算法，该工具旨在降低量子优化的进入门槛，并支持对不同求解器方法的系统研究，随着量子技术的发展，帮助评估它们的实际潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.