混合量子-AI 模型在藥物設計中擊敗了經典計算機
dtu 和 orca computing 的混合模型生成的肽比經典方法成功率更高，證明量子技術可以改善針對罕見疾病的藥物發現。
a team from the technical university of denmark used a printer-sized quantum computer from orca computing to boost a generative ai model for predicting proteins, resulting in more successful peptides than classical counterparts. the hybrid approach excelled specifically where training data was sparse, addressing a critical gap in developing therapies for non-western populations. while current quantum hardware lacks the power for full-scale antibody design, this experiment provides a concrete near-term commercial application for the technology.