136 citations · 246 across the 10 of their papers we have counts for
10 papers
Characterizing the impacts of multi-scale heterogeneity on solute transport in fracture networks
Matthew R. Sweeney, Jeffrey D. Hyman, Daniel O'Malley +4
We model flow and transport in three-dimensional fracture networks with varying degrees of fracture-to-fracture aperture/permeability heterogeneity and network density to show how…
The Quantum Alternating Operator Ansatz for Satisfiability Problems
John Golden, Andreas Bärtschi, Daniel O'Malley +1
We comparatively study, through large-scale numerical simulation, the performance across a large set of Quantum Alternating Operator Ansatz (QAOA) implementations for finding appro…
Quantum Algorithms for Geologic Fracture Networks
Jessie M. Henderson, Marianna Podzorova, M. Cerezo +4
Solving large systems of equations is a challenge for modeling natural phenomena, such as simulating subsurface flow. To avoid systems that are intractable on current computers, it…
Physics-embedded inverse analysis with automatic differentiation for the earth's subsurface
Hao Wu, Sarah Greer, Daniel O'Malley
Inverse analysis has been utilized to understand unknown underground geological properties by matching the observational data with simulators. To overcome the underconstrained natu…
Quantum Computing and Preconditioners for Hydrological Linear Systems
John Golden, Daniel O'Malley, Hari Viswanathan
Modeling hydrological fracture networks is a hallmark challenge in computational earth sciences. Accurately predicting critical features of fracture systems, e.g. percolation, can…
A near-term quantum algorithm for solving linear systems of equations based on the Woodbury identity
Daniel O'Malley, Jessie M. Henderson, Elijah Pelofske +5
Quantum algorithms for solving linear systems of equations have generated excitement because of the potential speed-ups involved and the importance of solving linear equations in m…
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley +3
We propose a unified data-driven reduced order model (ROM) that bridges the performance gap between linear and nonlinear manifold approaches. Deep learning ROM (DL-ROM) using deep-…
Numerical Evidence for Exponential Speed-up of QAOA over Unstructured Search for Approximate Constrained Optimization
John Golden, Andreas Bärtschi, Stephan Eidenbenz +1
Despite much recent work, the true promise and limitations of the Quantum Alternating Operator Ansatz (QAOA) are unclear. A critical question regarding QAOA is to what extent its p…
Fair Sampling Error Analysis on NISQ Devices
John Golden, Andreas Bärtschi, Daniel O'Malley +1
We study the status of fair sampling on Noisy Intermediate Scale Quantum (NISQ) devices, in particular the IBM Q family of backends. Using the recently introduced Grover Mixer-QAOA…
Quantum Algorithm Implementations for Beginners
Abhijith J., Adetokunbo Adedoyin, John Ambrosiano +31
As quantum computers become available to the general public, the need has arisen to train a cohort of quantum programmers, many of whom have been developing classical computer prog…