TNO Quantum: Optimization - QUBO

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

This package provides a comprehensive suite of tools for creating QUBO objects, defining QUBO solvers, and using them to solve QUBO problems. It also includes features for pre- and post-processing, as well as the ability to create pipelines that integrate all these components seamlessly

Documentation

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

Install

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

$ pip install tno.quantum.optimization.qubo

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, dqo]. Alternatively, you can install all solvers simultaneously using the [all] option:

$ pip install tno.quantum.optimization.qubo[all]

Usage

The following example shows how to construct a QUBO object.

from tno.quantum.optimization.qubo import QUBO

qubo = QUBO([
    [ 1, -2,  3],
    [-4,  5, -6],
    [ 7, -8,  9]
])

from tno.quantum.optimization.qubo import SolverConfig
solver = SolverConfig(name='bf_solver').get_instance()

# Solve the QUBO
result = solver.solve(qubo)
result.best_bitvector # BitVector(000)

(End)use limitations

The content of this software may solely be used for applications that comply with international export control laws.