simpleLOMs
Simple Lumped Oscillator Models for superconducting quantum device design.
In superconducting quantum device design, finite element electromagnetic (FEM) simulations are required throughout the design process. These are both computationally intensive and time-consuming. Lumped oscillator models (LOMs) allow for modular FEM simulations of superconducting device designs that can then be combined in an effective circuit model. These lumped circuit models are easily translated into circuit Hamiltonians.
In this package we provide several Lumped oscillator models (LOMs) of superconducting coplanar waveguides for use in circuit quantization.
Installation
Install from PyPI:
pip install simpleLOMs
Or install from source:
git clone https://github.com/elizabethkunz/simpleLOMs.git
cd simpleLOMs
pip install -e .
See the documentation for full installation options and dependencies.
Documentation
Full documentation is available at: https://elizabethkunz.github.io/simpleLOMs/
Documentation is built with Sphinx and deployed via GitHub Actions.
License
This project is licensed under the MIT License — see the LICENSE file for details.
Citation
If you use this software in your research, please cite it using the metadata in CITATION.cff or the instructions in the documentation.
Metadata
Release files for simpleLOMs 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| simpleloms-0.1.0.tar.gz | 40.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| simpleloms-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 87.3 kB
Release files / simpleloms-0.1.0.tar.gz
| Download URL | simpleloms-0.1.0.tar.gz |
|---|---|
| Size | 40.5 kB |
| Tags | Source |
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
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Release files / simpleloms-0.1.0-py3-none-any.whl
| Download URL | simpleloms-0.1.0-py3-none-any.whl |
|---|---|
| Size | 46.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
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