Distributed approach optimizes QUBO problems using classical or quantum solvers, indicating efficient computation.
This paper proposes a distributed approach for solving the large QUBO problem using classical or quantum optimization solvers. The method involves reducing the original matrix to a core set of indices for optimization and then solving the resulting subproblems in parallel on a cloud cluster. The approach is shown to converge to the optimal objective value, and enhancements to the base algorithm are also presented.
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Kreidich et al. (2026) studied this question.
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