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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-ph2019★ 6 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…