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Researchers from A*STAR and NUS have demonstrated a hybrid quantum-classical framework that significantly reduces the qubit footprint required for bio-molecular docking on IBM's 156-qubit Heron processor. By utilizing full-basis encoding and proving that pure product states suffice for optimal solutions, the team enables structure-based drug discovery tasks that previously exceeded the limits of near-term NISQ hardware. This advancement highlights a critical pathway for leveraging existing quantum devices in complex combinatorial optimization problems relevant to pharmaceutical research.

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A*STAR and NUS Researchers Achieve Qubit Compression for Bio-Molecular Docking on IBM Hardware

Quantum Computing ReportAugust 27, 20262 min read

Illustration of the problem formalism and multi-basis encoding approach Researchers from Singapore’s Agency for Science, Technology and Research (A*STAR) and the National University of Singapore (NUS) have introduced a hybrid quantum-classical framework that compresses the qubit footprint required for structure-based drug discovery. Published on arXiv (arXiv:2608.19868), the study demonstrates resource-efficient bio-molecular docking—identifying optimal binding configurations [...] The post A*STAR and NUS Researchers Achieve Qubit Compression for Bio-Molecular Docking on IBM Hardware appeared first on Quantum Computing Report.

Researchers from Singapore's Agency for Science, Technology and Research (A*STAR) and the National University of Singapore (NUS) have introduced a hybrid quantum-classical framework that compresses the qubit footprint required for structure-based drug discovery. Published…

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