IonQ, NVIDIA, and qBraid Demonstrate 54% Error Reduction in Mid-Circuit Quantum Simulations - 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

IonQ, NVIDIA, and qBraid Demonstrate 54% Error Reduction in Mid-Circuit Quantum Simulations

Trapped-ion hardware provider IonQ (NYSE: IONQ), high-performance computing leader NVIDIA, and quantum software startup qBraid have published joint research demonstrating an application-native error mitigation framework for deep Trotterized quantum chemistry. Executed on an IonQ Barium-based development system (similar to the forthcoming IonQ Tempo architecture) alongside GPU-accelerated classical computing, the team achieved a 54% reduction in logical error rates compared to direct physical Trotter executions during a 6-qubit encoded simulation step.