Quantum chemistry with provable convergence via randomized sample-based Krylov quantum diagonalization
SqDRIFT is a method for approximating quantum chemistry ground states using classical processing of individual samples from quantum circuits. It combines Sample-based Krylov Quantum Diagonalization with a randomized compilation strategy called qDRIFT to accurately find ground state energies on current quantum hardware while maintaining strong convergence guarantees.