Quantum software provider QC Ware has completed a technology demonstration validating a hybrid quantum-classical computational chemistry workflow using its Promethium® platform and IBM Quantum hardware. The trial calculated the electrostatic interaction energy for nitric oxide reductase—a complex metalloenzyme system relevant to drug discovery, catalysis, and materials science—by pairing GPU-accelerated classical molecular modeling with quantum measurements executed on IBM’s 156-qubit Heron superconducting quantum processor.
[ Promethium & IBM Quantum Hybrid Chemistry Workflow ]
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Classical GPU Engine (Promethium) Quantum Measurement (IBM Heron)
• GPU-Native Molecular Modeling & Energy Estimates. • 156-Qubit Superconducting Processor Execution.
• Up to 20x Speedup Over Legacy Software. • Target Quantum Subspace & Hamiltonian Measurements.
• Calculates Complex Metalloenzyme Structures. • Validates Hybrid Integration Architecture.The workflow targeted electrostatic interaction energy, an essential molecular property used to rank-order candidate compounds and evaluate active catalytic sites. Promethium utilizes a GPU-native architecture capable of running demanding electronic structure calculations up to 20 times faster than conventional classical platforms, enabling molecular insights to be generated in hours rather than weeks. While the demonstration highlights how Promethium can serve as an integration layer for quantum hardware, QC Ware noted that the hybrid execution capability is currently a technical proof-of-concept rather than a commercial product feature.
Led by Co-Founder and COO Dr. Kin-Joe Sham, QC Ware plans to continue extending Promethium’s classical GPU capabilities while developing hybrid quantum-classical algorithms that transition to utility-scale quantum processors as hardware gate fidelities advance.
Review the official press release on PR Newswire here.
August 8, 2026
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