69 citations · 194 across the 15 of their papers we have counts for
3 papers · 1 filter
Building Trustworthy Machine Learning Models for Astronomy
Michelle Ntampaka, Matthew Ho, Brian Nord
Astronomy is entering an era of data-driven discovery, due in part to modern machine learning (ML) techniques enabling powerful new ways to interpret observations. This shift in ou…
Enhancing quantum models of stochastic processes with error mitigation
Matthew Ho, Ryuji Takagi, Mile Gu
Error mitigation has been one of the recently sought after methods to reduce the effects of noise when computation is performed on a noisy near-term quantum computer. Interest in s…
Quantum-inspired identification of complex cellular automata
Matthew Ho, Andri Pradana, Thomas J. Elliott +2
Elementary cellular automata (ECA) present iconic examples of complex systems. Though described only by one-dimensional strings of binary cells evolving according to nearest-neighb…