Conference paper Open Access
Samuel A. Stein; Betis Baheri; Daniel Chen; Ying Mao; Qiang Guan; Shuai Xu; Caiwen Ding; Ang Li
QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity
MLSys 2022 Publication
QuClassi is a Quantum Deep Neural Network architecture for classification, based on quantum state fidelity
To use QuClassi, install the requirements by using
pip install -r requirements.txt
Within main.py, there is a subsampling section
SUBSAMPLE = 1000
This is to be edited according to computational constraints. More data results in slower training speeds, and hence subsamples are used for quicker evaluation.
From here, to run the system, run the command
Subsample sets can be edited by editting the training labels and training datasets accordingly.