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This joint demonstration marks a significant milestone by achieving chemical accuracy within 0.5 kcal/mol for modeling complex enzyme active sites, such as cytochrome P450nor. The hybrid workflow effectively leverages classical GPUs for preprocessing and trapped-ion hardware's native connectivity to execute entangling gates without routing overhead, validating a practical path forward for quantum-enhanced drug discovery pipelines.

Sources coveringQuantum Computing Report, Fortune

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QC Ware and IonQ Achieve Chemical Accuracy in Hybrid Quantum Chemistry Workflow for Drug Discovery

Quantum Computing ReportSeptember 1, 20262 min read

Quantum software developer QC Ware and trapped-ion hardware vendor IonQ (NYSE: IONQ) have demonstrated a hybrid quantum-classical chemistry workflow combining QC Ware’s Promethium® platform with the IonQ Forte quantum computer. Executed via Amazon Braket and supported by AWS cloud compute credits, the joint test calculated electrostatic interaction energy within 0.5 kcal/mol (~4%) of classical benchmarks—clearing [...] The post QC Ware and IonQ Achieve Chemical Accuracy in Hybrid Quantum Chemistry Workflow for Drug Discovery appeared first on Quantum Computing Report.

Quantum software developer QC Ware and trapped-ion hardware vendor IonQ (NYSE: IONQ) have demonstrated a hybrid quantum-classical chemistry workflow combining QC Ware’s Promethium® platform…

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