https://github.com/cqcl/qvtsim

Methods for simulating quantum volume tests and comparing confidence interval constructions.
https://github.com/cqcl/qvtsim

benchmarking quantum-volume volumetric

Last synced: about 1 year ago
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Methods for simulating quantum volume tests and comparing confidence interval constructions.

• Host: GitHub
• URL: https://github.com/cqcl/qvtsim
• Owner: CQCL
• License: apache-2.0
• Created: 2022-03-22T22:42:35.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-07-18T16:48:42.000Z (almost 4 years ago)
• Last Synced: 2025-02-06T21:46:23.108Z (over 1 year ago)
• Topics: benchmarking, quantum-volume, volumetric
• Language: Python
• Homepage:
• Size: 30.1 MB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Quantum Volume Test Simulation Tools

`qvtsim` contains methods needed to recreate some of the simulations and analysis in arXiv:2110.14808 of the quantum volume test. Most methods are based around and compatible with `qiskit`'s internal quantum volume methods.

## Project Organization

------------

    ├── README.md          

    ├── /notebooks          <- Jupyter notebook examples

    └── /qvtsim             <- Python source code

--------

## Getting Started

The repository contains two example notebooks for running the simulations:

- `QVT large sample.ipynb`: runs the scalable and numerical simulations over a set of error magnitudes for a given error model and list of qubits. It also performs the confidence interval analysis and estimates the passing error magnitudes.

- `QV fitter example.ipynb`: runs qiskit's standard QV experiment and analyzes with the QVFitter class but supplements with new functions to analyze the data and calculate the bootstrap confidence interval.