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Improved Approximation Algorithms for the EPR Hamiltonian

Authors Nathan Ju , Ansh Nagda

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Subject Classification

ACM Subject Classification
  • Theory of computation → Approximation algorithms analysis
Keywords
  • Approximation Algorithms
  • Quantum Local Hamiltonian

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Abstract

The EPR Hamiltonian is a family of 2-local quantum Hamiltonians introduced by King [King, 2023]. We introduce a polynomial time (1+√5)/4≈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 [Jorquera et al., 2024].

Cite As Get BibTex

Nathan Ju and Ansh Nagda. Improved Approximation Algorithms for the EPR Hamiltonian. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 353, pp. 24:1-24:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025) https://doi.org/10.4230/LIPIcs.APPROX/RANDOM.2025.24

Author Details

Nathan Ju
  • UC Berkeley, CA, USA
Ansh Nagda
  • UC Berkeley, CA, USA

Supplementary Materials

References

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