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Parallelizable Search-Space Decomposition for Large-Scale Combinatorial Optimization Problems Using Ising Machines
Combinatorial optimization problems are crucial in industry. However, many COPs are NP-hard, causing the search space to grow exponentially with problem size and rendering large-scale instances computationally intractable. Conventional solvers typically treat problems as monolithic entities, leading
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