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arXiv · 2607.21563

Fault-tolerant quantum algorithms for simulating atomic nuclei

James Benstead·Michael Garn·Neil Gaspar·Sean Greenaway·Angus Kan·Lloyd La Ronde·Chandan Sarma·Paul Stevenson
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Abstract

To maximize the value of fault-tolerant quantum computers, it is essential to develop concrete applications beyond well-established domains such as chemistry and condensed-matter physics. Here we construct and compile quantum algorithms to simulate the structure of atomic nuclei -- a topic that has received relatively little attention from the quantum computing community despite its similarities to the electronic structure problem in chemistry -- via effective shell-model Hamiltonians and no-core-shell-model Hamiltonians with three-body interactions derived from chiral effective field theory. Furthermore, we provide quantum resource estimates, in terms of Toffoli gate and qubit counts, for these algorithms, which, to our knowledge, are the first such estimates for fault-tolerant quantum simulation of atomic nuclei. Notably, the estimates for $^{32}$Mg and $^{219}$At shell-model Hamiltonians are comparable to recent estimates of Femoco simulations, a standard benchmark in chemistry. For no-core-shell-model Hamiltonians suitable for light nuclei (up to $^{40}$Ca or so), we find that resource requirements are significantly higher, suggesting that more bespoke strategies are required to make such simulations practicable. Throughout this work, we draw upon the similarities between nuclear and electronic structure problems, while also highlighting challenges that are specific to the former. We hope this work will spur long-term collaborations between the nuclear and quantum computing community with the ultimate goal of realizing useful nuclear simulations on quantum computers.

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James Benstead, Michael Garn, Neil Gaspar, Sean Greenaway, Angus Kan, Lloyd La Ronde, Chandan Sarma, Paul Stevenson. 2026-07-23. Fault-tolerant quantum algorithms for simulating atomic nuclei. https://arxiv.org/abs/2607.21563

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