90 citations · 107 across the 10 of their papers we have counts for
3 papers · 1 filter
Quantum-Classical Multiple Kernel Learning
Ara Ghukasyan, Jack S. Baker, Oktay Goktas +2
As quantum computers become increasingly practical, so does the prospect of using quantum computation to improve upon traditional algorithms. Kernel methods in machine learning is…
Parallel hybrid quantum-classical machine learning for kernelized time-series classification
Jack S. Baker, Gilchan Park, Kwangmin Yu +3
Supervised time-series classification garners widespread interest because of its applicability throughout a broad application domain including finance, astronomy, biosensors, and m…
Quantum Amplitude Estimation in the Presence of Noise
Eric G. Brown, Oktay Goktas, W. K. Tham
Quantum Amplitude Estimation (QAE) -- a technique by which the amplitude of a given quantum state can be estimated with quadratically fewer queries than by standard sampling -- is…