QuAIR QSF: Entropy and Fidelity Estimation

This repository provides code for estimating Von Neumann entropy and quantum state fidelity via trained parameterized quantum circuits, as presented in the paper:

https://arxiv.org/abs/2412.01696

Maintainer

Tengxiang Lin
tengxianglin23@gmail.com

Overview

• Implements Taylor‐series‐based estimators using circuit‐training and simulated measurements.
• Generates filled‐error‐bar plots to compare estimation methods against theoretical values.

Requirements

• Python >= 3.8
• NumPy, Matplotlib, PyTorch, tqdm
• QuAIRKit (set to complex128 dtype)

Usage

1. Adjust parameters in qsf_plot.py.
2. Run the script:
   python qsf_plot.py
3. Output plots: entropy_plots.pdf/svg, fidelity_plots.pdf/svg.