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Abstract <p>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.</p>

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Distributed Quantum-Inspired Optimization Solver

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • I. S. Kreidich,
  • S. R. Usmanov,
  • A. K. Fedorov

摘要

Abstract

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.