iq_readout
Classifiers for the IQ readout data from superconducting qubits.
For more information, check the documentation website.
Installation
As the package has not been published on PyPi yet, it CANNOT be installed directly using pip. One can use the following commands to install the package:
git clone git@github.com:MarcSerraPeralta/iq_readout.git
pip install iq_readout/
1 maintainer
Metadata
1 maintainer
Release files for iq-readout 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 | |
|---|---|---|---|
| iq_readout-0.1.0.tar.gz | 23.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iq_readout-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 51.9 kB
Release files / iq_readout-0.1.0.tar.gz
| Download URL | iq_readout-0.1.0.tar.gz |
|---|---|
| Size | 23.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.1
|
Release files / iq_readout-0.1.0-py3-none-any.whl
| Download URL | iq_readout-0.1.0-py3-none-any.whl |
|---|---|
| Size | 28.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.1
|
