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Qedma and HQC2 boost quantum chemistry accuracy 50x

Ivy Delaney
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⚡ Quantum Brief
The study, part of the Q-CHEMION project, focused on calculating the potential energy surface of a water molecule and demonstrates how error mitigation can enhance the reliability of quantum computations with current technology. Researchers at the University of Copenhagen and the Technical University of Denmark, collaborating with Qedma Quantum Computing, achieved a 30 to 50 percent improvement in quantum chemistry accuracy using Qedma’s QESEM error reduction software on IBM’s Aachen quantum processor, the company says. QESEM Error Mitigation Achieves 30 to 50 Percent Accuracy in Quantum Chemistry Researchers utilized IBM’s Aachen quantum processor to achieve these gains, surpassing results obtained without error mitigation techniques.
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Researchers at the University of Copenhagen and the Technical University of Denmark, collaborating with Qedma Quantum Computing, achieved a 30 to 50 percent improvement in quantum chemistry accuracy using Qedma’s QESEM error reduction software on IBM’s Aachen quantum processor, the company says. The study, part of the Q-CHEMION project, focused on calculating the potential energy surface of a water molecule and demonstrates how error mitigation can enhance the reliability of quantum computations with current technology. “Accuracy is particularly important in quantum chemistry,” said Prof. Stephan P. A. Sauer of the University of Copenhagen. “This study allowed us to explore how error mitigation can improve the accuracy of chemistry calculations performed on today’s quantum hardware.” The findings will be presented at Q2B Copenhagen this week. QESEM Error Mitigation Achieves 30 to 50 Percent Accuracy in Quantum Chemistry Researchers utilized IBM’s Aachen quantum processor to achieve these gains, surpassing results obtained without error mitigation techniques. Led by Prof. Stephan P. A. Sauer of the University of Copenhagen and Prof. Sonia Coriani of the Technical University of Denmark, the study addressed the challenge of noise inherent in current quantum processors. QESEM’s approach enables more complex quantum workloads while maintaining result accuracy, avoiding the need to wait for fully fault-tolerant quantum computers. Qedma CEO and Co-founder Dr. Asif Sinay stated, “We’re extremely pleased with the results of this collaborative study that clearly illustrates how our error mitigation software can help bridge the gap between today’s quantum devices and the high-accuracy quantum computations required for future scientific applications.” The research confirms the potential of applying quantum computing to quantum chemistry on presently available hardware, with accuracy gains increasing alongside required precision. We’re extremely pleased with the results of this collaborative study that clearly illustrates how our error mitigation software can help bridge the gap between today’s noisy quantum devices and the high-accuracy quantum computations required for future scientific applications. Dr. Asif Sinay, CEO and Co-founder at Qedma Source: https://www.prnewswire.com/il/news-releases/qedma-and-hqc2-demonstrate-unprecedented-accuracy-in-quantum-chemistry-on-quantum-computers-302873513.html More like thisQuantum Research NewsBonn Researchers Win EU Grants to Study Brains and Quantum SystemsQuantum Research NewsNIST finds La Luce Cristallina builds 100x thicker STO wafers for quantum devicesQuantum Research NewsUChicago’s Awschalom bridges quantum tech and biologyQuantum Research NewsQedma and HQC2 boost quantum chemistry accuracy 50xStay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: Ivy Delaney Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing.

For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release. Latest Posts by Ivy Delaney: Quandela joins Canada’s Quantum Computing Sandbox for cloud access September 9, 2026 EDBI invests in Universal Quantum’s quantum computing plans September 9, 2026 IQM and VTT will deploy a 300-qubit computer in Finland by 2027 September 9, 2026

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Source: Quantum Zeitgeist

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