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quant-ph2026
Utilizing intermediate states in quantum annealing for multi-objective optimization
Keita Takahashi, Shu Tanaka
We investigate obtaining intermediate quantum states during the quantum annealing process to address the limitation of the linear weighted sum method in multi-objective optimizatio…
quant-ph2025
Quantitative analysis of the effectiveness of mid-anneal measurement in quantum annealing
Keita Takahashi, Shu Tanaka
Quantum annealing is a promising metaheuristic for solving constrained combinatorial optimization problems. However, parameter tuning difficulties and hardware noise often prevent…