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https://github.com/cqcl/qvtsim

Methods for simulating quantum volume tests and comparing confidence interval constructions.

https://github.com/cqcl/qvtsim

Science Score: 10.0%

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    CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org
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    Low similarity (8.2%) to scientific vocabulary

Keywords

benchmarking quantum-volume volumetric
Last synced: 5 months ago · JSON representation

Repository

Methods for simulating quantum volume tests and comparing confidence interval constructions.

Basic Info
  • Host: GitHub
  • Owner: CQCL
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 30.1 MB
Statistics
  • Stars: 3
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
benchmarking quantum-volume volumetric
Created almost 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

README.md

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.

Owner

  • Name: Cambridge Quantum
  • Login: CQCL
  • Kind: organization
  • Location: Cambridge, UK

Quantum Software and Technologies

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Dependencies

requirements.txt pypi
  • matplotlib ==3.5.1
  • numpy ==1.20.1
  • pandas ==1.2.3
  • qiskit ==0.37.0
  • qiskit-ignis ==0.6.0
  • scipy ==1.6.1