Quantum computing for effective nuclear lattice model

Quantum Physics [Submitted on 15 Apr 2026] Quantum computing for effective nuclear lattice model Zhushuo Liu, Jia-ai Shi, Bing-Nan Lu, Xiaosi Xu Nuclear lattice effective field theory has become an important framework for quantum many-body calculations in nuclear physics, yet its classical implementation remains increasingly challenging for more general interactions and larger systems. In this work, we develop a quantum-computing framework for a three-dimensional nuclear lattice model. We construct a variational quantum eigensolver framework and systematically compare the Jordan-Wigner and Gray code encodings. Our analysis shows that for the few-body systems considered here, Gray code combined with symmetry reduction yields a substantially more compact qubit representation. Based on this framework, we perform numerical studies for ^{2}\mathrm{H}, ^{3}\mathrm{H}, and ^{4}\mathrm{He} on finite lattices. The calculated ground-state energies exhibit a clear approach toward the corresponding experimental binding energies as the lattice size increases. These results provide a proof-of-principle foundation for future quantum simulations of nuclear many-body problems. Comments: 9 pages, 3 figures and 1 table Subjects: Quantum Physics (quant-ph); Nuclear Theory (nucl-th) Cite as: arXiv:2604.13430 [quant-ph]   (or arXiv:2604.13430v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2604.13430 Focus to learn more Submission history From: Xiaosi Xu [view email] [v1] Wed, 15 Apr 2026 03:02:44 UTC (68 KB) Access Paper: HTML (experimental) view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-04 Change to browse by: nucl-th References & Citations INSPIRE HEP NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)