PT_VQC and U-VQSVD Tomography - Generate attacks based on state tomography, process tomography and non-unitary process tomography

Installation of required libraries

install -r requirements.txt

Usage

PT_VQC is divided into 3 distinct folders, responsible for:

Folders:

• State tomography.
• Process tomography.
• Non-unitary process tomography

Aditional:

• Classical Deep Neural Network (DNN) attack for QEPUF initialization reconstruction (Classical-DNN-PUF-attack).

Tests:

• CircleCI is integrated for tests (.circleci folder).

Contents of requirements.txt

matplotlib==3.5.2
numpy==1.23.0
pandas==1.4.3
PennyLane==0.31.0
qiskit==0.39.4
qiskit_aer==0.11.2
qiskit_ibmq_provider==0.19.2
qiskit_ignis==0.7.1
qiskit_terra==0.22.3
qutip==4.7.1
scikit_learn==1.1.1
scipy==1.8.1
sympy==1.12
torch==1.12.0
tqdm==4.64.1
pytest==7.4.2

What is PT_VQC?

This repository combines all the codes to produce the plots and results from the following article: arXiv:2404.16541, if used, cite it correspondently.