Preprint
Sep 2026
Reducing quantum and classical resources for quantum-centric supercomputing workloads on near-term hardware
Sample-based Krylov quantum diagonalization is analyzed under depolarizing noise, deriving shot-count resource estimates that expose an exponential depth penalty, and experiments on current noisy hardware with the one-dimensional single-impurity Anderson model on a 20-site (40-qubit) instance are performed.
M. Grandadam, V. Bohun, Dikshant Dulal et al.
· 0 citations