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This benchmark validates characterization-driven error mitigation as a critical pathway for extracting quantitative molecular properties on current superconducting hardware, effectively bridging the gap between noisy devices and chemical accuracy. By reducing energy estimation errors by 30–50× without inflating circuit depth through Clifford conversions, this approach offers a scalable solution for near-term quantum chemistry applications that heuristic methods cannot guarantee.

Sources coveringQuantum Computing Report, LessWrong, Quantum Zeitgeist, arXiv

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Qedma and HQC² Demonstrate 30–50× Error Mitigation Advantage in Quantum Chemistry Benchmark

Quantum Computing ReportSeptember 10, 20262 min read

Qedma Quantum Computing and the HQC² research consortium have demonstrated a significant 30–50x reduction in energy estimation error for quantum chemistry calculations on superconducting quantum hardware. Their QESEM software layer, tested on IBM’s Aachen processor, successfully lowered energy estimation errors for a water molecule's potential energy surface from approximately 500 mHa to within 1.5 mHa, achieving chemical accuracy. This advancement showcases the potential of characterization-driven quantum error mitigation for extracting quantitative molecular properties on current quantum hardware. The post Qedma and HQC² Demonstrate 30–50× Error Mitigation Advantage in Quantum Chemistry Benchmark appeared first on Quantum Computing Report.

Quantum error mitigation software provider Qedma Quantum Computing and the HQC² research consortium—comprising the University of Copenhagen (KU), Technical University of Denmark (DTU), and University of Southern Denmark (SDU)—have published an experimental benchmark demonstrating a 30× to 50×…

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