aiqbench analysis
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.
Conjectured Bounds for 2-Local Hamiltonians via Token Graphs
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
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 185 words
Related coverage
Generators of stability-preserving semigroups, spectral gaps, and classical ground-state computation
arXiv · Sep 28, 2026

Humanity’s Last Invention — Richard Socher of Recursive
Latent Space · Sep 14, 2026

Researchers Learn Quantum System with Single Qubit Readout
Quantum Zeitgeist · Oct 2, 2026
DI Series: Serving Kimi-K3 MXFP4 Wide-EP Disaggregated on AMD Instinct MI300X and MI325X
AMD · Oct 8, 2026