Efficient Identification of Permutation Symmetries in Many-Body Hamiltonians via Graph Theory
Saumya Shah, Patrick Rebentrost

TL;DR
This paper presents a graph-theoretic algorithm to efficiently identify the full permutation symmetry group of arbitrary Pauli Hamiltonians, facilitating symmetry exploitation in quantum many-body simulations.
Contribution
It introduces a novel method linking Hamiltonian symmetries to graph automorphisms, enabling polynomial-time symmetry detection for bounded locality Hamiltonians.
Findings
Algorithm correctly identifies known symmetries in tested models.
Polynomial-time complexity for bounded locality Hamiltonians.
Permutation equivalence decision reduces to graph isomorphism.
Abstract
The computational cost of simulating quantum many-body systems can often be reduced by taking advantage of physical symmetries. While methods exist for specific symmetry classes, a general algorithm to find the full permutation symmetry group of an arbitrary Pauli Hamiltonian is notably lacking. This paper introduces a new method that identifies this symmetry group by establishing an isomorphism between the Hamiltonian's permutation symmetry group and the automorphism group of a coloured bipartite graph constructed from the Hamiltonian. We formally prove this isomorphism and show that for physical Hamiltonians with bounded locality and interaction degree, the resulting graph has a bounded degree, reducing the computational problem of finding the automorphism group to polynomial time. The algorithm's validity is empirically confirmed on various physical models with known symmetries. We…
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Taxonomy
TopicsQuantum many-body systems · Quantum Computing Algorithms and Architecture · Machine Learning in Materials Science
