Skip to main content
Archived

This project has been archived by its maintainers, and is no longer receiving any updates.

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 0.9.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for qiskit-aqua 0.9.4
File Size Uploaded
qiskit-aqua-0.9.4.tar.gz 2.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for qiskit-aqua 0.9.4
File Interpreter ABI Platform
qiskit_aqua-0.9.4-py3-none-any.whl Python 3 none any Details

Total release size: 4.1 MB

Release files / qiskit-aqua-0.9.4.tar.gz

Download URL qiskit-aqua-0.9.4.tar.gz
Size 2.0 MB
Tags Source
SHA-256 checksum
How to use checksums
fd0932b84ed86c3fb7c10e4931c6e99bb7c02883220f7e919851753a1c92598b
BLAKE2b-256 checksum
How to use checksums
e95fe265828cc2be3cf99db42f6f723efdfdbfa26e9727fdfd3403f4a2b44f5b
Upload date
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/3.7.10

Release files / qiskit_aqua-0.9.4-py3-none-any.whl

Download URL qiskit_aqua-0.9.4-py3-none-any.whl
Size 2.1 MB
Tags Python 3
SHA-256 checksum
How to use checksums
656939dd8fdfed42b684a94e92b0dd15d81eeefbe41253b79785535100aa8bae
BLAKE2b-256 checksum
How to use checksums
04a6a4a9527b0f039d6ae0cdf37a36e6980e26a5aa0940a0b1060e25309bbaec
Upload date
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/3.7.10

Release history Release notifications | RSS feed

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page