scikit-quantum
scikit-quantum is a Python module for quantum computing and quantum machine learning built primarily on top of PennyLane and is distributed under the Apache 2.0 license.
scikit-quantum is aimed to provide a user-friendly API while still harnessing the power of a quantum device. The goal is to create a set of tools that are vendor agnostic (although that has limited feasibility at this time), and bring the power of several quantum algorithms to new users.
Building the Documentation
We use GitHub pages to host our documentation.
The user-guide and manual for scikit-quantum can be found at: https://scikit-quantum.com
To compile the docs to the docs folder run:
make -f build_tools/build_docs/Makefile html
Release files for scikit-quantum 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scikit-quantum-0.0.6.tar.gz | 10.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_quantum-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.1 kB
Release files / scikit-quantum-0.0.6.tar.gz
| Download URL | scikit-quantum-0.0.6.tar.gz |
|---|---|
| Size | 10.9 kB |
| Tags | Source |
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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/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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Release files / scikit_quantum-0.0.6-py3-none-any.whl
| Download URL | scikit_quantum-0.0.6-py3-none-any.whl |
|---|---|
| Size | 15.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-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/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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