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The SIM-GRAPH method leverages discrete symmetries in finite quantum systems to exponentially accelerate the calculation of ground-state observables, offering a significant efficiency gain over standard exact diagonalization techniques. This approach is particularly relevant for advancing quantum simulation algorithms and optimizing computational resources in condensed matter physics and quantum information science. By reducing the effective number of sites through projection onto symmetric subsets, the method provides a scalable framework for analyzing complex interacting quantum systems.
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SIM-GRAPH: A universal guide to symmetric interactions

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arXiv:2609.09996v1 Announce Type: cross Abstract: Symmetry plays a central role throughout physics, from Fourier analysis on discrete lattices to the classification of elementary particles in the standard model. In finite quantum systems, symmetries are often discrete, such as reflection and rotational symmetries. Here, we present the SIM-GRAPH method (Symmetric Ising Models - Graph Reduction And Projected Hamiltonians), which uses such symmetries to efficiently calculate ground-state observables of interacting quantum systems. By projecting all interactions onto a symmetric subset of the system, the method effectively reduces the number of sites, thus providing an exponential speedup over standard exact diagonalization. Furthermore, we introduce two extensions that broaden the applicability of the method and allow for a controlled trade-off between computational cost and accuracy.

Abstract:Symmetry plays a central role throughout physics, from Fourier analysis on discrete lattices to the classification of elementary particles in the standard model. In finite quantum systems, symmetries are often discrete, such as reflection and rotational symmetries. Here, we present the SIM-GRAPH method (Symmetric Ising Models - Graph Reduction And Projected Hamiltonians), which uses such symmetries to efficiently calculate ground-state observables of interacting quantum systems. By projecting all interactions onto a symmetric subset of the system, the method effectively reduces the number of sites, thus providing an exponential speedup over standard exact diagonalization. Furthermore, we introduce two extensions that broaden the applicability of the method and allow for a controlled trade-off between computational cost and accuracy.

Strongly Correlated Electrons (cond-mat.str-el); Quantum Physics (quant-ph)

arXiv:2609.09996 [cond-mat.str-el]

(or arXiv:2609.09996v1 [cond-mat.str-el] for this version)

https://doi.org/10.48550/arXiv.2609.09996 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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