Ensuring complete marginal bit coverage in initial data for one-hot encoded FMQA improves mean optimization performance on wing-shape benchmarks with 17 and 32 variables.
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Accessing intermediate states in quantum annealing via quench readout or ideal measurements reveals a timing trade-off that improves diversity and convergence for non-convex Pareto fronts in multi-objective optimization.
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Improving FMQA via Initial Training Data Design Considering Marginal Bit Coverage in One-Hot Encoding
Ensuring complete marginal bit coverage in initial data for one-hot encoded FMQA improves mean optimization performance on wing-shape benchmarks with 17 and 32 variables.
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Utilizing intermediate states in quantum annealing for multi-objective optimization
Accessing intermediate states in quantum annealing via quench readout or ideal measurements reveals a timing trade-off that improves diversity and convergence for non-convex Pareto fronts in multi-objective optimization.