C3 - An integrated tool-set for Control, Calibration and Characterization
The C3 package is intended to close the loop between open-loop control optimization, control pulse calibration, and model-matching based on calibration data.
Installation
pip install c3-toolset
If you want to try out the bleeding edge (possibly buggy) version under development:
pip install c3-toolset-nightly
Usage
C3 provides a simple Python API through which it may integrate with virtually any experimental setup. Contact us at c3@q-optimize.org.
The paper introducing C3 as a concept can be found on the arxiv.
Documentation is available here on RTD.
Examples are available in the examples/ directory and can also be run online using the launch|binder badge above.
If you wish to contribute, please check out the issues tab and also the CONTRIBUTING.md for useful resources.
The source code is available on Github at https://github.com/q-optimize/c3.
Metadata
Release files for c3-toolset 1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| c3-toolset-1.3.tar.gz | 110.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| c3_toolset-1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 214.8 kB
Release files / c3-toolset-1.3.tar.gz
| Download URL | c3-toolset-1.3.tar.gz |
|---|---|
| Size | 110.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / c3_toolset-1.3-py3-none-any.whl
| Download URL | c3_toolset-1.3-py3-none-any.whl |
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| Size | 104.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6
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