Bridging quantum computing and nuclear structure: Atomic nuclei on a trapped-ion quantum computer

We demonstrate quantum simulations of strongly correlated nuclear many-body systems on the RIKEN-Quantinuum Reimei trapped-ion quantum computer, targeting ground states of oxygen, calcium, and nickel isotopes. By combining a hard-core-boson representation of the nuclear shell model with a pair-unitary coupled-cluster doubles ansatz, we achieve subpercent relative error in the ground-state energies compared to noise-free state vector simulations. Our approach leverages symmetry-aware state preparation and particle-number postselection to efficiently capture pairing correlations characteristic of systems with same-species nucleons. These findings highlight the viability of high-fidelity trapped-ion platforms for nuclear physics applications and provide a foundation for scaling to more complex nuclear systems.

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Publication Details

Journal
Physical Review Research
Published
2026-01-21
DOI
https://doi.org/10.1103/td9s-z7my
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
52.10
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article

Bridging quantum computing and nuclear structure: Atomic nuclei on a trapped-ion quantum computer

S. Yoshida, Takeshi Sato, Takumi Ogata, Masaaki Kimura
1 citations
Physical Review Research
Quantum Computing Algorithms and Architecture
52.10
article

Bridging quantum computing and nuclear structure: Atomic nuclei on a trapped-ion quantum computer

S. Yoshida, Takeshi Sato, Takumi Ogata, Masaaki Kimura
article en
1 citations

Abstract

We demonstrate quantum simulations of strongly correlated nuclear many-body systems on the RIKEN-Quantinuum Reimei trapped-ion quantum computer, targeting ground states of oxygen, calcium, and nickel isotopes. By combining a hard-core-boson representation of the nuclear shell model with a pair-unitary coupled-cluster doubles ansatz, we achieve subpercent relative error in the ground-state energies compared to noise-free state vector simulations. Our approach leverages symmetry-aware state preparation and particle-number postselection to efficiently capture pairing correlations characteristic of systems with same-species nucleons. These findings highlight the viability of high-fidelity trapped-ion platforms for nuclear physics applications and provide a foundation for scaling to more complex nuclear systems.

Physical Review ResearchVol. 8(1)
Utsunomiya University (JP), RIKEN Nishina Center (JP), The University of Tokyo (JP)
Openalex Percentile: Top 1%
Quantum Computing Algorithms and Architecture
52.10
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Bridging quantum computing and nuclear structure: Atomic nuclei on a trapped-ion quantum computer — S. Yoshida, Takeshi Sato, et al. · Physical Review Research (2026) | TGRS Research Map | TGRS