tno.quantum.optimization.qubo.solvers
Solvers QUBO optimization
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (7.8%) to scientific vocabulary
Keywords
Repository
Solvers QUBO optimization
Basic Info
- Host: GitHub
- Owner: TNO-Quantum
- License: apache-2.0
- Language: Python
- Default Branch: main
- Homepage: https://tno-quantum.github.io/documentation/
- Size: 42 KB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 1
Topics
Metadata Files
README.md
TNO Quantum: Optimization - QUBO - Solvers
TNO Quantum provides generic software components aimed at facilitating the development of quantum applications.
This package contains implementations of QUBO solvers.
Documentation
Documentation of the tno.quantum.optimization.qubo.solvers package can be found here.
Install
Easily install the tno.quantum.optimization.qubo.solvers package using pip:
console
$ python -m pip install tno.quantum.optimization.qubo.solvers
By default, the package is installed without external solver dependencies. You can
specify which QUBO solvers you would like to install. Available options are
[dwave, qubovert, qaoa]. Alternatively, you can install all solvers
simultaneously using the [all] option
console
$ python -m pip install tno.quantum.optimization.qubo.solvers[all]
Usage
The following example shows how to list the available solvers and how to instantiate them.
```python from tno.quantum.optimization.qubo.components import SolverConfig
supportedsolvers = list(SolverConfig.supporteditems()) solver = SolverConfig(name='bfsolver').getinstance() ```
Once a solver is instantiated, it can be used to solve a QUBO as follows.
```python from tno.quantum.optimization.qubo.components import QUBO
Construct QUBO
qubo = QUBO([ [1, 2, 3], [4, -50, 6], [7, 8, 9] ])
Solve QUBO
result = solver.solve(qubo) result.bestbitvector # BitVector(010) result.bestvalue # -50.0 ```
(End)use limitations
The content of this software may solely be used for applications that comply with international export control laws.
Owner
- Name: TNO - Quantum
- Login: TNO-Quantum
- Kind: organization
- Email: tnoquantum@tno.nl
- Location: Netherlands
- Twitter: TNO_Research
- Repositories: 2
- Profile: https://github.com/TNO-Quantum
Citation (CITATION.cff)
cff-version: 1.2.0
license: Apache-2.0
message: If you use this software, please cite it using these metadata.
authors:
- name: TNO Quantum
city: The Hague
country: NL
email: quantumcodelab@tno.nl
website: https://tno.nl
type: software
url: https://tno.nl
contact:
- name: TNO Quantum
city: The Hague
country: NL
email: quantumcodelab@tno.nl
website: https://tno.nl
repository-code: https://github.com/TNO-Quantum/optimization.qubo.solvers
repository-artifact: https://pypi.org/project/tno.quantum.optimization.qubo.solvers
title: TNO Quantum - Optimization - QUBO - Solvers
version: 1.0.0
date-released: 2025-05-13
GitHub Events
Total
- Issues event: 1
- Public event: 1
Last Year
- Issues event: 1
- Public event: 1
Packages
- Total packages: 1
-
Total downloads:
- pypi 46 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
pypi.org: tno.quantum.optimization.qubo.solvers
QUBO solvers
- Homepage: https://github.com/TNO-Quantum/
- Documentation: https://github.com/TNO-Quantum/
- License: Apache License, Version 2.0
-
Latest release: 1.0.0
published 9 months ago
Rankings
Maintainers (1)
Dependencies
- numpy *
- tno.quantum.optimization.qubo.components ~=1.0
- tno.quantum.utils ~=5.0