Search Results for author: Samuel A. Stein

Found 2 papers, 0 papers with code

QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation

no code implementations11 Oct 2022 Samuel A. Stein, Ying Mao, James Ang, Ang Li

Quantum Machine Learning continues to be a highly active area of interest within Quantum Computing.

Quantum Machine Learning

GenQu: A Hybrid Framework for Learning Classical Data in Quantum States

no code implementations1 Jan 2021 Samuel A. Stein, Ray Marie Tischio, Betis Baheri, YiWen Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang

In this paper, we propose GenQu, a hybrid and general-purpose quantum framework for learning classical data through quantum states.

Cannot find the paper you are looking for? You can Submit a new open access paper.