tno.quantum.optimization.qubo.components

Components QUBO optimization

https://github.com/tno-quantum/optimization.qubo.components

Science Score: 44.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
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  • Scientific vocabulary similarity
    Low similarity (7.6%) to scientific vocabulary

Keywords

quantum-computing qubo
Last synced: 6 months ago · JSON representation ·

Repository

Components QUBO optimization

Basic Info
Statistics
  • Stars: 1
  • Watchers: 0
  • Forks: 0
  • Open Issues: 1
  • Releases: 1
Topics
quantum-computing qubo
Created 10 months ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License Citation

README.md

TNO Quantum: Optimization - QUBO - Components

TNO Quantum provides generic software components aimed at facilitating the development of quantum applications.

This package contains the components to define QUBOs and solvers.

Documentation

Documentation of the tno.quantum.optimization.qubo.components package can be found here.

Install

Easily install the tno.quantum.optimization.qubo.components package using pip:

console $ python -m pip install tno.quantum.optimization.qubo.components

Usage

The QUBO Components package can be used to define custom solver classes as shown in the following example.

```python from tno.quantum.optimization.qubo.components import QUBO, Solver, BasicResult

class CustomSolver(Solver[BasicResult]): def _solve(self, qubo: QUBO) -> BasicResult: result = ... # solve QUBO and construct result return result ```

The example below shows how to obtain all installed solvers.

An instance of a solver can be obtained via the get_instance() function on an SolverConfig instance.

Note: the "simulated_annealing_solver" solver shown in the example requires tno.quantum.optimization.qubo.solvers to be installed.

```python from tno.quantum.optimization.qubo.components import SolverConfig

supportedsolvers = SolverConfig.supporteditems()

solverconfig = SolverConfig(name="simulatedannealingsolver", options={}) solver = solverconfig.get_instance() ```

(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

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.components
repository-artifact: https://pypi.org/project/tno.quantum.optimization.qubo.components
title: TNO Quantum - Optimization - QUBO - Components
version: 1.0.0
date-released: 2025-05-13

GitHub Events

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  • Issues event: 1
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Top Authors
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  • RobertWezemanTNO (1)
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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 51 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
pypi.org: tno.quantum.optimization.qubo.components

QUBO components

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 51 Last month
Rankings
Dependent packages count: 9.1%
Average: 30.3%
Dependent repos count: 51.5%
Maintainers (1)
Last synced: 6 months ago

Dependencies

pyproject.toml pypi
  • matplotlib *
  • numpy *
  • scipy *
  • tno.quantum.utils ~=5.0