144 citations · 361 across the 19 of their papers we have counts for
5 papers · 1 filter
Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture
Cristina Garcia-Cardona, M. Giselle Fernández-Godino, Daniel O'Malley +1
Simulation of the crack network evolution on high strain rate impact experiments performed in brittle materials is very compute-intensive. The cost increases even more if multiple…
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…
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…
Reverse Annealing for Nonnegative/Binary Matrix Factorization
John Golden, Daniel O'Malley
It was recently shown that quantum annealing can be used as an effective, fast subroutine in certain types of matrix factorization algorithms. The quantum annealing algorithm perfo…
Accelerating High-Strain Continuum-Scale Brittle Fracture Simulations with Machine Learning
M. Giselle Fernández-Godino, Nishant Panda, Daniel O'Malley +4
Failure in brittle materials under dynamic loading conditions is a result of the propagation and coalescence of microcracks. Simulating this mechanism at the continuum level is com…