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
Metadata
Release files for scikit-quantum 0.0.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| scikit-quantum-0.0.6.tar.gz | 10.9 kB | Without provenance | 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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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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Security for scikit-quantum 0.0.6
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