Separating Geometry From Interference in Constrained Quantum Optimization
The paper disentangles geometric transport from quantum interference in constrained optimization. It shows that while simple mixer transport moves probability mass toward the search space, engineering phases allows this mass to concentrate onto a target configuration. This enables achieving a certified success probability independent of system size through phase alignment.