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 deve
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 [...] The post IonQ, NVIDIA, and qBraid Demonstrate 54% Error Reduction in Mid-Circuit Quantum Simulations appeared first on Quantum Computing Report .