Using variational imaginary time evolution with a Max-Cut-designed ansatz, the paper reports lower optimality gaps than VQE-style training on small simulated Multiple Knapsack instances.
The quantum alternating operator ansatz on maximum k-vertex cover,
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Solving Constrained Combinatorial Optimization Problems with Variational Quantum Imaginary Time Evolution
Using variational imaginary time evolution with a Max-Cut-designed ansatz, the paper reports lower optimality gaps than VQE-style training on small simulated Multiple Knapsack instances.