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This paper establishes nuclear many-body systems as rigorous benchmarks for quantum algorithms, mapping realistic Hamiltonians like chiral effective field theory onto qubit architectures to evaluate resource costs across different eigenvalue methods. By quantifying T-gate requirements and scaling trends using primitives such as Qubitization and Quantum Singular Value Transformation, the study provides a standardized framework for comparing computational approaches in complex many-body physics problems. The accompanying NuQuLib software stack offers concrete tools for researchers aiming to validate quantum advantage on specific scientific workloads.
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Nuclear Many-Body Systems as Benchmarks for Quantum Computing

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arXiv:2607.08047v2 Announce Type: replace Abstract: We present a framework for benchmarking quantum algorithms for nuclear many-body systems based on realistic nuclear Hamiltonians such as chiral effective field theory. To this end, we introduce a workflow that maps nuclear interactions in second quantization formalism to qubit Hamiltonians. This enables the systematic construction of benchmark instances spanning no-core and valence-space formulations with two-body (NN) and selected three-body (3N) interactions. Then, we proceed to provide resource estimates for three representative eigenvalue algorithms: Quantum Phase Estimation, Quantum Krylov methods, and Observable Dynamic Mode Decomposition. We compare their resource requirements in terms of T-gate counts and system size, and examine the impact of model-space choices and many-body interactions. The primitives included in our analysis are Trotterization, Qubitization, and Quantum Singular Value Transformation. Our results quantify scaling trends across algorithms and problem classes, and provide a basis for consistent comparisons of quantum approaches to nuclear many-body problems. The implementation is provided by the NuQuLib software stack.

Abstract:We present a framework for benchmarking quantum algorithms for nuclear many-body systems based on realistic nuclear Hamiltonians such as chiral effective field theory. To this end, we introduce a workflow that maps nuclear interactions in second quantization formalism to qubit Hamiltonians. This enables the systematic construction of benchmark instances spanning no-core and valence-space formulations with two-body (NN) and selected three-body (3N) interactions. Then, we proceed to provide resource estimates for three representative eigenvalue algorithms: Quantum Phase Estimation, Quantum Krylov methods, and Observable Dynamic Mode Decomposition. We compare their resource requirements in terms of T-gate counts and system size, and examine the impact of model-space choices and many-body interactions. The primitives included in our analysis are Trotterization, Qubitization, and Quantum Singular Value Transformation. Our results quantify scaling trends across algorithms and problem classes, and provide a basis for consistent comparisons of quantum approaches to nuclear many-body problems. The implementation is provided by the NuQuLib software stack.

arXiv:2607.08047 [quant-ph]

(or arXiv:2607.08047v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2607.08047 Focus to learn more arXiv-issued DOI via DataCite

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