Boffins bet on quantum computers, AI supers to solve fusion fuel dilemma
摘要
原文指出核聚变所需氚稀缺，FLiBe 熔盐被视为有前景的氚增殖环境，但计算电子基态能耗时极高；Oak Ridge 国家实验室、克利夫兰诊所与 IBM 研究团队结合 CPUs、GPUs 与 IBM 量子处理器（QPU），将问题分解为量子电路，成功识别出 9 种潜在的 FLiBe 簇构型，实现首次已知熔盐融合材料在量子计算机上的计算；结果显示量子中心超级计算已可作为科学工具，辅助材料科学家优化氚提取以实现聚变反应堆规模化。
荐读理由
用CPUs+GPUs+QPUs混合计算出9种FLiBe分子簇的钛原子结合能，可直接套到你AI工程或系统仿真项目里做量子加速优化
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