arxivquant-phcs.DCcs.ETcs.LG2026-07-20
Entanglement geometry separates circuit cutting, classical hardness, and trainability
Maria Gragera Garces, Sabina Drăgoi, Lirandë Pira
Circuit cutting promises to scale quantum computations beyond current hardware, but variational quantum advantage also requires low cutting overhead, classical hardness, and trainability. We show that these properties are strongly constrained by entanglement geometry. Matrix prod…