原子能科学技术2026，Vol.60Issue(5)：961-969,9.DOI:10.7538/yzk.2026.youxian.0177
轻核结合能的全量子计算研究
Full Quantum Computing on Binding Energy of Light Nuclei
摘要
Abstract
Accurate calculations of nuclear binding energies in theory is a long-standing problem in nuclear physics,as it provides critical insights the effective interactions and structures of atomic nuclei.Currently,there are severe limitations in theory due to the exponential growth of the Hilbert space with increasing nucleon number,i.e.,curse of the dimension.There are some effort to mitigate this problem by using the state-of-art methods,such as the machine learning and quantum computing.Recent advances in quantum computing have opened new avenues for addressing these challenges,enabling the direct simulation of nuclear many-body systems on quantum hardware.In this work,a detailed study on the calculation of nuclear binding energies using the full quantum eigensolver(FQE)algorithm,implemented on a real quantum processor,i.e.Quafu,was presented.Two nuclear systems(2H and 6He)were investigated.The deuteron,as the simplest bound nucleus with just one proton and one neutron,serves as an ideal benchmark for testing quantum algorithms,FQE.6He,a light,two-valence neutron nucleus,was used for estimating the ability of the Quafu quantum cloud platform and its"Baihua"quantum chip.Our results demonstrate that for the deuteron,the FQE algorithm on the"Baihua"quantum processor achieves a higher level of accuracy compared to previously reported results obtained using the variational quantum eigensolver(VQE)on the IBM_QX5 and IBM_19Q platforms,as discussed in Dumitrescu's article.For 6He,the FQE-calculated binding energy shows accuracy comparable to recent VQE-based calculations reported in Yoshida's article.These findings highlight the feasibility of performing precise nuclear structure calculations on near-term quantum devices and underscore the potential of the FQE approach for future applications in nuclear physics.Overall,this study extends the scope of quantum computing in nuclear physics by demonstrating that the FQE algorithm can serve as a practical and accurate tool for computing binding energies on real quantum hardware.The results provide a benchmark for future developments in quantum simulations of nuclei and suggest promising directions for scaling these methods to larger nuclear systems,ultimately contributing to a deeper understanding of nuclear structure and dynamics.关键词
量子计算/全量子本征求解算法/结合能/轻核Key words
quantum computing/full quantum eigensolver/binding energy/light nuclei分类
数理科学引用本文复制引用
彭柏宁,崔莹,闫玉良,高早春,魏世杰,张英逊..轻核结合能的全量子计算研究[J].原子能科学技术,2026,60(5):961-969,9.基金项目
国家自然科学基金(12275359,12375129,11875323,11961141003,62571050) （12275359,12375129,11875323,11961141003,62571050）
国家重点研发计划(2023YFA1606402) （2023YFA1606402）
财政部稳定支持项目 （）
中国原子能科学研究院院长基金(YZ222407001301,YZ232604001601,YC010270525794,PA010271225779) （YZ222407001301,YZ232604001601,YC010270525794,PA010271225779）
中核集团领创项目(LC192209000701,LC202309000201) （LC192209000701,LC202309000201）
中国原子能科学研究院核物理研究所基础研究特区项目 （）
