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Qiskit Aqua is an extensible, modular, open-source library of quantum computing algorithms. Researchers can experiment with Aqua algorithms, on near-term quantum devices and simulators, and can also get involved by contributing new algorithms and algorithm-supporting objects, such as optimizers and variational forms. Qiskit Aqua also contains application domain support in the form of the chemistry, finance, machine learning and optimization modules to experiment with real-world applications to quantum computing.
Metadata
Release files for qiskit-aqua 0.9.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qiskit-aqua-0.9.5.tar.gz | 2.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qiskit_aqua-0.9.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 MB
Release files / qiskit-aqua-0.9.5.tar.gz
| Download URL | qiskit-aqua-0.9.5.tar.gz |
|---|---|
| Size | 2.0 MB |
| Tags | Source |
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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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.7.11
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Release files / qiskit_aqua-0.9.5-py3-none-any.whl
| Download URL | qiskit_aqua-0.9.5-py3-none-any.whl |
|---|---|
| Size | 2.1 MB |
| 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.7.11
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