12 citations · 30 across the 8 of their papers we have counts for
4 papers · 1 filter
Classical Pre-optimization Approach for ADAPT-VQE: Maximizing the Potential of High-Performance Computing Resources to Improve Quantum Simulation of Chemical Applications
J. Wayne Mullinax, Panagiotis G. Anastasiou, Jeffrey Larson +2
The ADAPT-VQE algorithm is a promising method for generating a compact ansatz based on derivatives of the underlying cost function, and it yields accurate predictions of electronic…
Quantum Hardware-Enabled Molecular Dynamics via Transfer Learning
Abid Khan, Prateek Vaish, Yaoqi Pang +8
The ability to perform ab initio molecular dynamics simulations using potential energies calculated on quantum computers would allow virtually exact dynamics for chemical and bioch…
Surrogate optimization of variational quantum circuits
Erik J. Gustafson, Juha Tiihonen, Diana Chamaki +8
Variational quantum eigensolvers are touted as a near-term algorithm capable of impacting many applications. However, the potential has not yet been realized, with few claims of qu…
A circuit-generated quantum subspace algorithm for the variational quantum eigensolver
Mark R. Hirsbrunner, J. Wayne Mullinax, Yizhi Shen +4
Recent research has shown that wavefunction evolution in real- and imaginary-time can generate quantum subspaces with significant utility for obtaining accurate ground state energi…