Quantum computing for biotechnological innovation
Emerging quantum computing has enabled real-world applications in drug discovery, with pilot studies demonstrating its outperformance in identifying potential molecules.
Hybrid quantum–classical approaches show significant gains over standard high-performance computing, easing the R&D paradox in pharmaceutical pipelines.
Quantum machine learning breakthroughs highlight enhanced disease subtyping in oncology, boosting precision medicine efforts.
Preliminary proof-of-concept studies in protein folding and metabolic network modeling suggest a tangible quantum advantage for complex biological problems.
https://www.cell.com/trends/biotechnology/fulltext/S0167-7799(26)00008-9
