Preprint
Aug 2026
Quantum Preconditioning For Constrained Optimization Problems
The proposed approach uses two-point correlations between decision variables derived from the Quantum Approximate Optimization Algorithm to construct a modified objective function that is subsequently provided to mixed-integer programming (MIP) solvers.
Anurag Ramesh, Bhuvanesh Sundar, Maxime Dupont et al.
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