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Improved approximation algorithms for the EPR Hamiltonian

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arxiv 2504.10712 v1 pith:DOXGDMQP submitted 2025-04-14 quant-ph cs.DS

classification quant-phcs.DS
keywords approximationarxivhamiltonianfracimprovingquantumsqrtupon
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abstract

The EPR Hamiltonian is a family of 2-local quantum Hamiltonians introduced by King (arXiv:2209.02589). We introduce a polynomial time $\frac{1+\sqrt{5}}{4}\approx 0.809$-approximation algorithm for the problem of computing the ground energy of the EPR Hamiltonian, improving upon the previous state of the art of $0.72$ (arXiv:2410.15544). As a special case, this also implies a $\frac{1+\sqrt{5}}{4}$-approximation for Quantum Max Cut on bipartite instances, improving upon the approximation ratio of $3/4$ that one can infer in a relatively straightforward manner from the work of Lee and Parekh (arXiv:2401.03616).

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Efficient quantum algorithm for Heisenberg spin systems

    quant-ph 2026-07 accept novelty 7.0 of 10

    The spectral gap of any Suzuki-Fisher Heisenberg Hamiltonian is at least twice the minimum Z-field, yielding a polynomial-time quantum adiabatic algorithm for the ground energy of such systems and of bipartite Quantum MaxCut.

  2. A Refined Algorithm For the EPR model

    quant-ph 2025-06 conditional novelty 6.0 of 10

    A refined algorithm for the EPR model using homogeneous and quasi-homogeneous fractional matchings achieves improved approximation ratios on regular graphs, e.g., 0.872 for 2-regular graphs.

  3. Testing APS conjecture on regular graphs

    quant-ph 2025-07 conditional novelty 5.0 of 10

    The FED algorithm's energy estimates on Henning-Yeo regular graphs never exceed the APS conjecture's predicted bound, so the tests find no violation.

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