TNO Quantum: Optimization - QUBO - Postprocessors
TNO Quantum provides generic software components aimed at facilitating the development of quantum applications.
This package contains implementations of QUBO postprocessors.
Documentation
Documentation of the tno.quantum.optimization.qubo.postprocessors package can be found here.
Install
Easily install the tno.quantum.optimization.qubo.postprocessors package using pip:
$ python -m pip install tno.quantum.optimization.qubo.postprocessors
Usage
The following example shows how to list the available postprocessors and how to instantiate them.
from tno.quantum.optimization.qubo.components import PostprocessorConfig
supported_postprocessors = PostprocessorConfig.supported_items()
postprocessor = PostprocessorConfig(name='steepest_descent_postprocessor').get_instance()
Alternatively, a postprocessor can also be instantiated directly.
from tno.quantum.optimization.qubo.postprocessors import SteepestDescentPostprocessor
postprocessor = SteepestDescentPostprocessor()
(End)use limitations
The content of this software may solely be used for applications that comply with international export control laws.
1 maintainer
Metadata
1 maintainer
Release files for tno.quantum.optimization.qubo.postprocessors 1.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| tno_quantum_optimization_qubo_postprocessors-1.0.5.tar.gz | 9.9 kB | Without provenance | Details for tno_quantum_optimization_qubo_postprocessors-1.0.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tno_quantum_optimization_qubo_postprocessors-1.0.5-py3-none-any.whl | Python 3 | none | any | Details for tno_quantum_optimization_qubo_postprocessors-1.0.5-py3-none-any.whl |
Total release size: 20.4 kB
Release files / tno_quantum_optimization_qubo_postprocessors-1.0.5.tar.gz
| Download URL | tno_quantum_optimization_qubo_postprocessors-1.0.5.tar.gz |
|---|---|
| Size | 9.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
aaa2213f774bca44adf36a161fb3099e0fd7804d256be59267ad6ac46daf1faf
|
|
BLAKE2b-256 checksum How to use checksums |
9e51b0317c20b7c9dd6f57990ae9a1b0e781badf8ddb2c34db1601b0c429178a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.8 {"installer":{"name":"uv","version":"0.12.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":null,"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Release files / tno_quantum_optimization_qubo_postprocessors-1.0.5-py3-none-any.whl
| Download URL | tno_quantum_optimization_qubo_postprocessors-1.0.5-py3-none-any.whl |
|---|---|
| Size | 10.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
025d78f8bd651c3f1b57734290bc1e2e1d46b9bdd1b6b4c74abc53f7d8cd76c0
|
|
BLAKE2b-256 checksum How to use checksums |
e739ddfe88d92d2ebe0871dc61c0e638cdd47580e9b4729f6edcaa2dd2c18002
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.8 {"installer":{"name":"uv","version":"0.12.8","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":null,"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Security for tno.quantum.optimization.qubo.postprocessors 1.0.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
