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Overcoming the Limits of Computational Cost... Emergence of a "Large-Scale Quantum Computing Framework" to Accelerate Drug Disc

inquantio

Zenodo (CERN European Organization for Nuclear Research), 2026

Abstract

• Constructed an integrated multi-stage drug design framework utilizing QBoson-CPQC-3Gen, a 2000-node coherent Ising machine (CIM). • Demonstrated superior speed and accuracy over existing heuristic algorithms in core calculations, including allosteric site detection, protein-peptide docking, and intermolecular similarity calculation. • Successfully identified and validated 2 novel druggable sites and bioactive compounds for 6 targets. [Quantum Biology Society] A recent study that overcomes the massive time and computational costs of drug discovery through quantum computing has captured the attention of the pharmaceutical and biotechnology industries. On February 11th, a paper titled "Large-scale quantum computing framework enhances drug discovery in multiple stages" was posted on bioRxiv, a preprint repository for the biological sciences. ■ Stable Computation for Over an Hour... Solving the CADD Bottleneck Traditional computer-aided drug discovery (CADD) consumes astronomical computational costs and resources when processing large-scale combinatorial optimization problems (COPs). To resolve this bottleneck, the research team improved the fiber vibration isolation and temperature control systems to introduce "QBoson-CPQC-3Gen," a coherent Ising machine (CIM) equipped with 2000 nodes. This system showcased groundbreaking performance by achieving stable optimal solutions on large-scale problems for over one hour. Utilizing this improved CIM, they successfully constructed a…

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