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). [ Warm-Start Full-Basis Encoding (W-S FBE) Framework ] Optimization Mapping Quantum Qubit Encoding Hardware & Verification • Maximum Vertex-Weighted Clique (MVWCP) • Full-Basis Encoding (3 Variables / Qubit) • IBM Heron r2 Processor (ibm_kingston) • Binding Interaction Graph [...]

Researchers demonstrated a resource-efficient hybrid quantum-classical method for molecular docking on an IBM quantum processor.

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…