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

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 between a ligand and a target protein—on digital NISQ hardware using IBM’s 156-qubit Heron r2 processor (ibm_kingston).