487 citations · 1.3k across the 25 of their papers we have counts for
25 papers
Fault-tolerant quantum algorithm for symmetry-adapted perturbation theory
Cristian L. Cortes, Matthias Loipersberger, Robert M. Parrish +9
The efficient computation of observables beyond the total energy is a key challenge and opportunity for fault-tolerant quantum computing approaches in quantum chemistry. Here we co…
Fault-tolerant quantum computation of molecular observables
Mark Steudtner, Sam Morley-Short, William Pol +8
Over the past three decades significant reductions have been made to the cost of estimating ground-state energies of molecular Hamiltonians with quantum computers. However, compara…
A stochastic quantum Krylov protocol with double factorized Hamiltonians
Nicholas H. Stair, Cristian L. Cortes, Robert M. Parrish +2
We propose a class of randomized quantum Krylov diagonalization (rQKD) algorithms capable of solving the eigenstate estimation problem with modest quantum resource requirements. Co…
Fast-forwarding quantum simulation with real-time quantum Krylov subspace algorithms
Cristian L. Cortes, A. Eugene DePrince, Stephen K. Gray
Quantum subspace diagonalization (QSD) algorithms have emerged as a competitive family of algorithms that avoid many of the optimization pitfalls associated with parameterized quan…
Quantum Kerr Learning
Junyu Liu, Changchun Zhong, Matthew Otten +5
Quantum machine learning is a rapidly evolving field of research that could facilitate important applications for quantum computing and also significantly impact data-driven scienc…
Quantum Krylov subspace algorithms for ground and excited state energy estimation
Cristian L. Cortes, Stephen K. Gray
Quantum Krylov subspace diagonalization (QKSD) algorithms provide a low-cost alternative to the conventional quantum phase estimation algorithm for estimating the ground and excite…