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This project has been archived by its maintainers, and is no longer receiving any updates.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 0.7.4

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 0.7.4
File Size Uploaded
qiskit-aqua-0.7.4.tar.gz 1.8 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for qiskit-aqua 0.7.4
File Interpreter ABI Platform
qiskit_aqua-0.7.4-py3-none-any.whl Python 3 none any Details

Total release size: 3.8 MB

Release files / qiskit-aqua-0.7.4.tar.gz

Download URL qiskit-aqua-0.7.4.tar.gz
Size 1.8 MB
Tags Source
SHA-256 checksum
How to use checksums
6201988c67f59d6be9358c55f3bc8bb4ab621ba2b761836664786ba1c31aad52
BLAKE2b-256 checksum
How to use checksums
7ad8102d62f1e4481bb9893515b67d83373a0ca131d6d0f51c9c869110c83550
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.1

Release files / qiskit_aqua-0.7.4-py3-none-any.whl

Download URL qiskit_aqua-0.7.4-py3-none-any.whl
Size 1.9 MB
Tags Python 3
SHA-256 checksum
How to use checksums
20b289069ca944fe6c51f930555b5b8dfb7de58830e67737de6e457397842c32
BLAKE2b-256 checksum
How to use checksums
f543a16875b454b53ae52edc93154d72a9c9b8689e83dc8ff58bb4ea62b89a5d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.1

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