# 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](https://tno-quantum.github.io/documentation/).
## 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, dqo]``. 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
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.
```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.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.
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