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A 0.651-approximation to quantum Max Cut via Rydberg atoms

Abstract

Quantum Max Cut, also known as the anti-ferromagnetic Heisenberg Hamiltonian, is a QMA-complete problem which serves as a benchmark for approximation algorithms in quantum physics. Here we develop a hybrid approximation algorithm to quantum Max Cut, which uses the natural quantum dynamics of Rydberg atom systems in combination with semidefinite programming and randomized rounding. It achieves a conditional approximation ratio of $0.651$, compared to the best-known ratio of $0.614$ that relies on semidefinite programming alone. The algorithm is robust in the sense that the advantage persists even if the annealing procedure of the Rydberg atom system obtains a state whose energy is only 89% of its true ground state energy. Our approach opens a new route for hybrid quantum-classical algorithms that combine quantum with classical optimization methods.

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BibTeX
@misc{crosta20260651approximation,
  title = {{A 0.651-approximation to quantum Max Cut via Rydberg atoms}},
  author = {Tomás Crosta and Matthieu Saubanere and Felix Huber},
  howpublished = {HAL},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2606.27224},
  eprint = {2606.27224},
  archivePrefix = {arXiv},
  url = {https://hal.science/hal-05845058v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - A 0.651-approximation to quantum Max Cut via Rydberg atoms
AU  - Tomás Crosta
AU  - Matthieu Saubanere
AU  - Felix Huber
PY  - 2026
DA  - 2026/10/30
PB  - HAL
DO  - 10.48550/arxiv.2606.27224
UR  - https://hal.science/hal-05845058v1
AB  - Quantum Max Cut, also known as the anti-ferromagnetic Heisenberg Hamiltonian, is a QMA-complete problem which serves as a benchmark for approximation algorithms in quantum physics. Here we develop a hybrid approximation algorithm to quantum Max Cut, which uses the natural quantum dynamics of Rydberg atom systems in combination with semidefinite programming and randomized rounding. It achieves a conditional approximation ratio of $0.651$, compared to the best-known ratio of $0.614$ that relies on semidefinite programming alone. The algorithm is robust in the sense that the advantage persists even if the annealing procedure of the Rydberg atom system obtains a state whose energy is only 89% of its true ground state energy. Our approach opens a new route for hybrid quantum-classical algorithms that combine quantum with classical optimization methods.
ER  -