most citedAchieving fair sampling in quantum annealing

14 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2020

Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations

Daniel O'Malley, John K. Golden

Homomorphic encryption has been an area of study in classical computing for decades. The fundamental goal of homomorphic encryption is to enable (untrusted) Oscar to perform a comp…

quant-ph202014 cited

Achieving fair sampling in quantum annealing

Vaibhaw Kumar, Casey Tomlin, Curt Nehrkorn +2

Sampling all ground states of a Hamiltonian with equal probability is a desired feature of a sampling algorithm, but recent studies indicate that common variants of transverse fiel…

cs.ET2019

Pre- and post-processing in quantum-computational hydrologic inverse analysis

John K. Golden, Daniel O'Malley

It was recently shown that certain subsurface hydrological inverse problems -- here framed as determining the composition of an aquifer from pressure readings -- can be solved on a…

physics.comp-ph20196 cited

Learning to regularize with a variational autoencoder for hydrologic inverse analysis

Daniel O'Malley, John K. Golden, Velimir V. Vesselinov

Inverse problems often involve matching observational data using a physical model that takes a large number of parameters as input. These problems tend to be under-constrained and…

physics.comp-ph2019

Large-scale Inversion of Subsurface Flow Using Discrete Adjoint Method

Shu Wang, Satish Karra, Daniel O'Malley

Sensitivity analysis plays an important role in searching for constitutive parameters (e.g. permeability) subsurface flow simulations. The mathematics behind is to solve a dynamic…