bfqcircuits
Circuit quantization of superconducting quantum hardware.
Science Score: 67.0%
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
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○Scientific vocabulary similarity
Low similarity (12.1%) to scientific vocabulary
Repository
Circuit quantization of superconducting quantum hardware.
Basic Info
- Host: GitHub
- Owner: MartinSpiecker
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Size: 4.52 MB
Statistics
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 3
Metadata Files
README.md
Black Forest Quantum Circuits
This package allows the numerical exploration of the most commonly used superconducting artificial atoms, the transmon and the fluxonium. Even though these circuit names are typically associated with certain parameter regimes, all regimes of these circuits can efficiently be analysed.
The package can be used to design the spectrum of the atoms, their dispersive readout, as well as to extract various properties. A fluxonium fit routine is included, to extract the circuit parameters from a measured spectrum. The transmon Hamiltonian can be set up with an arbitrary number of Josephson junction harmonics.
The package includes the celebrated quantum Rabi model to showcase the complex behavior of the dispersive shift with increasing readout power.
The managable source code may serve as a starting point to implement more complex artificial atoms and their readout.
Created at the foot of the Black Forest in Karlsruhe, Germany.
Quick start
To install bfqcircuits, run the following command in your terminal:
$ pip install bfqcircuits
or download the package and execute in the main directory:
$ pip install .
In case you wish to edit the package, install it via
$ pip install --editable .
Use it in your project:
$ from bfqcircuits.core import fluxonium
To get started, you may have a look at the example notebooks under docs/examples.
Documentation
The documentation for bfqcircuits is available at: https://black-forest-quantum-circuits.readthedocs.io
Owner
- Login: MartinSpiecker
- Kind: user
- Repositories: 1
- Profile: https://github.com/MartinSpiecker
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you find this software useful, please cite it as below."
authors:
- family-names: Spiecker
given-names: Martin
orcid: https://orcid.org/0000-0001-8640-3270
title: "Black Forest Quantum Circuits"
version: v0.2.1
identifiers:
- type: doi
value: 10.5281/zenodo.13695982
date-released: 2024-09-05
GitHub Events
Total
- Release event: 3
- Push event: 8
- Create event: 2
Last Year
- Release event: 3
- Push event: 8
- Create event: 2
Packages
- Total packages: 1
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Total downloads:
- pypi 24 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 4
- Total maintainers: 1
pypi.org: bfqcircuits
Superconducting circuit quantization
- Homepage: https://github.com/MartinSpiecker/bfqcircuits
- Documentation: https://black-forest-quantum-circuits.readthedocs.io/en/latest/index.html
- License: Copyright (c) 2024. Martin Spiecker. All rights reserved.
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Latest release: 0.2.1
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- matplotlib *
- numpy *
- schemdraw *
- scipy *
- ipython ==8.27.0
- nbsphinx ==0.9.5
- sphinx_rtd_theme ==2.0.0
- sphinxcontrib-apidoc ==0.5.0