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This hybrid classical/quantum framework demonstrates that current noisy quantum hardware can already deliver accurate molecular insights without requiring full error correction. By breaking down systems into fragments for localized sampling, LASSQD expands the practical utility of near-term devices in high-value domains like catalysis and energy research.

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IBM-UChicago Collaboration Achieves Accurate Molecular Insights With LASSQD

Quantum ZeitgeistJuly 14, 20263 min read

LASSQD, a new method from researchers at the University of Chicago and IBM, uses hybrid classical/quantum computing for molecular insights.

Researchers from the IBM–University of Chicago Quantum Collaboration have developed LASSQD, a new computational framework that tackles molecular modeling by first breaking down complex systems into smaller fragments and then employing a quantum sampling technique. Published in the Proceedings of the National Academy of Sciences, the method demonstrates that even current “noisy” quantum computers, lacking full error-correction, can contribute to…

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