Global Consortium Launches Quantum Optimization Benchmarking Library (QOBLIB) to Track Path to Quantum Advantage - Quantum Computing Report

Skip to content

GQINewsNews Archive 2026News Archive 2025News Archive 2024News Archive 2023News Archive 2022News Archive 2021News Archive 2020News Archive 2019News Archive 2018News Archive 2015-2017AnalysisQnalysisPlayersPublic CompaniesPrivate/Startup CompaniesUniversitiesGovernment/Non-ProfitVenture CapitalVenture Capital – Sorted by Quantum CompanyResourcesConferencesToolsOther Websites and Industry AssociationsEducationBooksScorecardsGate Level Software PlatformsIBM Qiskit, Rigetti Forest, Microsoft QDK, Project QReview of the Cirq Quantum Software FrameworkQubit Implementation DashboardQubit CountQubit QualityQubit TechnologySoftware/Startup PartnersCloud Platform Hardware PartnersPodcastsAboutQCR Alerts Sign-Up FormAdvertising InquiriesQCR in the NewsContactPrivacy PolicyMembership

Global Consortium Launches Quantum Optimization Benchmarking Library (QOBLIB) to Track Path to Quantum Advantage

An international research consortium led by IBM Quantum, Zuse Institute Berlin (ZIB), Technische Universität Berlin, and Purdue University—alongside global academic and industrial partners—has introduced the Quantum Optimization Benchmarking Library (QOBLIB). Published in Nature Computational Science (“The Quantum Optimization Benchmarking Library“), the open-source initiative establishes a standardized, model-independent benchmarking framework to evaluate quantum, classical, and hybrid algorithms across ten NP-hard combinatorial optimization problem classes.