2 papers
cs.LG2026
In-context learning enables continental-scale subsurface temperature prediction from sparse local observations
Daniel O'Malley, Christopher W. Johnson, Javier E. Santos +10
Continental-scale knowledge of subsurface temperature is limited by the cost and sparsity of borehole measurements, but such information is essential for geothermal resource assess…
quant-ph2023
Addressing Quantum's "Fine Print": State Preparation and Information Extraction for Quantum Algorithms and Geologic Fracture Networks
Jessie M. Henderson, John Kath, John K. Golden +2
Quantum algorithms provide an exponential speedup for solving certain classes of linear systems, including those that model geologic fracture flow. However, this revolutionary gain…