506 citations · 601 across the 12 of their papers we have counts for
12 papers
Bayesian Optimization Priors for Efficient Variational Quantum Algorithms
Farshud Sorourifar, Diana Chamaki, Norm M. Tubman +2
Quantum computers currently rely on a hybrid quantum-classical approach known as Variational Quantum Algorithms (VQAs) to solve problems. Still, there are several challenges with V…
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…
Pre-optimizing variational quantum eigensolvers with tensor networks
Abid Khan, Bryan K. Clark, Norm M. Tubman
The variational quantum eigensolver (VQE) is a promising algorithm for demonstrating quantum advantage in the noisy intermediate-scale quantum (NISQ) era. However, optimizing VQE f…
A Parallel, Distributed Memory Implementation of the Adaptive Sampling Configuration Interaction Method
David B. Williams-Young, Norm M. Tubman, Carlos Mejuto-Zaera +1
Many-body simulations of quantum systems is an active field of research that involves many different methods targeting various computing platforms. Many methods commonly employed,…
Large-scale sparse wavefunction circuit simulator for applications with the variational quantum eigensolver
J. Wayne Mullinax, Norm M. Tubman
The standard paradigm for state preparation on quantum computers for the simulation of physical systems in the near term has been widely explored with different algorithmic methods…