research
∙
01/26/2023
The Quantum Alternating Operator Ansatz for Satisfiability Problems
We comparatively study, through large-scale numerical simulation, the pe...
share
research
∙
10/21/2022
Quantum Algorithms for Geologic Fracture Networks
Solving large systems of equations is a challenge for modeling natural p...
research
∙
06/21/2022
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management
Avoiding over-pressurization in subsurface reservoirs is critical for ap...
research
∙
02/11/2022
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
We propose a unified data-driven reduced order model (ROM) that bridges ...
research
∙
02/01/2022
Evidence for Super-Polynomial Advantage of QAOA over Unstructured Search
We compare the performance of several variations of the Quantum Alternat...
research
∙
06/25/2021
Threshold-Based Quantum Optimization
We propose and study Th-QAOA (pronounced Threshold QAOA), a variation of...
research
∙
05/27/2021
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks
This work is the first to employ and adapt the image-to-image translatio...
research
∙
01/08/2021
QAOA-based Fair Sampling on NISQ Devices
We study the status of fair sampling on Noisy Intermediate Scale Quantum...
research
∙
08/31/2020
Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations
Homomorphic encryption has been an area of study in classical computing ...
research
∙
07/10/2020
Reverse Annealing for Nonnegative/Binary Matrix Factorization
It was recently shown that quantum annealing can be used as an effective...
research
∙
06/06/2019
Learning to regularize with a variational autoencoder for hydrologic inverse analysis
Inverse problems often involve matching observational data using a physi...
research
∙
04/05/2017
