TTN-VQC (Tensor-Train Network + Variational Quantum Circuit)

The package provides an implementation of TTN-VQC to corroborate our theoretical work.

git clone https://github.com/uwjunqi/TTN-VQC.git
cd TTN-VQC

Installation

The main dependencies include pytorch, pennylane. To download and install tc:

git clone https://github.com/uwjunqi/Pytorch-Tensor-Train-Network.git
cd Pytorch-Tensor-Train-Network
python setup.py install

Usage of Codes

reg_add_noise.py: generate noisy image data

reg_ttn_vqc.py: the implementation of TTN-VQC model

reg_pca_vqc.py: the implementation of PCA-VQC model

Reference:

This package is related to our recently submitted paper

Jun Qi, Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh, "Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression,” in submission.