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The paper ties the maximum energies of several 2-local quantum Hamiltonians to spectral radii of token graphs, and it proposes conjectured bounds backed by numerical evidence. Those bounds would sharpen approximation ratios for existing algorithms and give combinatorial estimates of antiferromagnetic Heisenberg ground-state energies, with a proof only for bipartite graphs. For quantum computing readers, the main point is that the conjectures are unproven for general graphs, so the improved ratios depend on results not yet established.
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Conjectured Bounds for 2-Local Hamiltonians via Token Graphs

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arXiv:2506.03441v3 Announce Type: replace Abstract: We explain how the maximum energy of the Quantum MaxCut, XY, and EPR Hamiltonians on a graph $G$ are related to the spectral radii of the token graphs of $G$. From numerical study, we conjecture new bounds for these spectral radii based on properties of $G$. We show how these conjectures tighten the analysis of existing algorithms, implying state-of-the-art approximation ratios for all three Hamiltonians. Our conjectures also provide simple combinatorial bounds on the ground state energy of the antiferromagnetic Heisenberg model, which we prove for bipartite graphs.

Abstract:We explain how the maximum energy of the Quantum MaxCut, XY, and EPR Hamiltonians on a graph $G$ are related to the spectral radii of the token graphs of $G$. From numerical study, we conjecture new bounds for these spectral radii based on properties of $G$. We show how these conjectures tighten the analysis of existing algorithms, implying state-of-the-art approximation ratios for all three Hamiltonians. Our conjectures also provide simple combinatorial bounds on the ground state energy of the antiferromagnetic Heisenberg model, which we prove for bipartite graphs.

Quantum Physics (quant-ph); Data Structures and Algorithms (cs.DS)

arXiv:2506.03441 [quant-ph]

(or arXiv:2506.03441v3 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2506.03441 Focus to learn more arXiv-issued DOI via DataCite

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