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:

$ 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

$ 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.

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

supported_solvers = list(SolverConfig.supported_items())
solver = SolverConfig(name='bf_solver').get_instance()

Once a solver is instantiated, it can be used to solve a QUBO as follows.

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.best_bitvector # BitVector(010)
result.best_value # -50.0

(End)use limitations

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