487 citations · 1.3k across the 25 of their papers we have counts for
3 papers · 2 filters
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…