Improved Algorithms for Quantum MaxCut via Partially Entangled Matchings
We introduce a $0.611$-approximation algorithm for Quantum MaxCut and a $\frac{1+\sqrt{5}}{4} \approx 0.809$-approximation algorithm for the EPR Hamiltonian of [arXiv:2209.02589]. A novel ingredient in both of these algorithms is to partially entangle pairs of qubits associated to edges in a matching, while preserving the direction of their single-qubit Bloch vectors. This allows us to interpolate between product states and matching-based states with a tunable parameter.
Publication Details
- Journal
- ArXiv.org
- Published
- 2025-04-21
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- U.S. Department of Energy
- University of Chicago
- Office of Science
- Advanced Scientific Computing Research
- Air Force Office of Scientific Research
- Sandia National Laboratories