--- title: The Quantum Optimization Benchmarking Library | daily.dev description: A systematic benchmarking framework for quantum optimization algorithms is introduced via the Quantum Optimization Benchmarking Library. It defines ten classes... canonical: https://daily.dev/posts/the-quantum-optimization-benchmarking-library-h1kbnsz5q twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: The Quantum Optimization Benchmarking Library | daily.dev og:description: A systematic benchmarking framework for quantum optimization algorithms is introduced via the Quantum Optimization Benchmarking Library. It defines ten classes... og:url: https://daily.dev/posts/the-quantum-optimization-benchmarking-library-h1kbnsz5q og:image: https://api.daily.dev/og/posts/h1kbnSz5Q.png og:image:alt: The Quantum Optimization Benchmarking Library og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # The Quantum Optimization Benchmarking Library **[Nature](https://daily.dev/sources/nature)** · 92 min read · 0 upvotes · 0 comments ## Summary A systematic benchmarking framework for quantum optimization algorithms is introduced via the Quantum Optimization Benchmarking Library. It defines ten classes of combinatorial optimization problems (including Maximum Independent Set, LABS, Portfolio Optimization, Vehicle Routing, and others) that are challenging for classical solvers even at 100–100,000 variables. The library provides open-source problem instances, classical baseline results from state-of-the-art solvers like Gurobi, and illustrative quantum baseline results using QAOA on IBM quantum hardware. The framework promotes model-independent benchmarking to enable fair, reproducible comparisons between classical and quantum algorithms and to track progress toward quantum advantage in optimization. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Quantum approximate multi-objective optimization](https://daily.dev/posts/quantum-approximate-multi-objective-optimization-lpk7chhg9) · Nature · 0 upvotes · 0 comments - [Scientists Propose More Realistic Benchmarks For Quantum Algorithms](https://daily.dev/posts/scientists-propose-more-realistic-benchmarks-for-quantum-algorithms-tlfzslgc3) · The Quantum Insider · 0 upvotes · 0 comments - [Argonne and JPMorganChase Develop New Method to Study QAOA at Scale](https://daily.dev/posts/argonne-and-jpmorganchase-develop-new-method-to-study-qaoa-at-scale-bgzy7q0ye) · The Quantum Insider · 0 upvotes · 0 comments --- Tags: [#quantum-computing](https://daily.dev/tags/quantum-computing), [#qiskit](https://daily.dev/tags/qiskit) [View this post on daily.dev](https://daily.dev/posts/the-quantum-optimization-benchmarking-library-h1kbnsz5q) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"The Quantum Optimization Benchmarking Library","url":"https://daily.dev/posts/the-quantum-optimization-benchmarking-library-h1kbnsz5q","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/the-quantum-optimization-benchmarking-library-h1kbnsz5q"},"datePublished":"2026-06-23T09:13:38.765Z","dateModified":"2026-08-24T07:06:30.670Z","description":"A systematic benchmarking framework for quantum optimization algorithms is introduced via the Quantum Optimization Benchmarking Library. 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