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cs.LG2022
QBoost: An Iteratively Weighted Adiabatic Trained Classifier
Salvatore Certo, Andrew Vlasic, Daniel Beaulieu
A new implementation of an adiabatically-trained ensemble model is derived that shows significant improvements over classical methods. In particular, empirical results of this new…
quant-ph2022★ 3 cited
Understanding the Mapping of Encode Data Through An Implementation of Quantum Topological Analysis
Andrew Vlasic, Anh Pham
A potential advantage of quantum machine learning stems from the ability of encoding classical data into high dimensional complex Hilbert space using quantum circuits. Recent studi…