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Description:
mqt.qao 0.1.0
MQT Quantum Auto Optimizer: Automatic Framework for Solving Optimization Problems with Quantum Computers
MQT Quantum Auto Optimizer is a framework that allows one to automatically translate an optimization problem into a quantum-compliant formulation and to solve it with one of the main quantum solvers (Quantum Annealer, Quantum Approximate Optimization Algorithm, Variational Quantum Eigensolver and Grover Adaptive Search)
MQT Quantum Auto Optimizer is part of the Munich Quantum Toolkit (MQT) developed by the Chair for Design Automation at the Technical University of Munich. This framework has been developed in collaboration with the VLSI Lab of Politecnico di Torino.
If you have any questions, feel free to create a discussion or an issue on GitHub.
Getting Started
mqt-qao is available via PyPI.
(venv) $ pip install mqt.qao
The following code gives an example on the usage:
from mqt.qao import Constraints, ObjectiveFunction, Problem, Solver, Variables
# Declaration of the problem variables
var = Variables()
a = var.add_binary_variable("a")
b = var.add_discrete_variable("b", [-1, 1, 3])
c = var.add_continuous_variable("c", -2, 2, 0.25)
# declaration of the objective functions involved in the problem
obj_func = ObjectiveFunction()
obj_func.add_objective_function(a + b * c + c**2)
# Declaration of the constraints
cst = Constraints()
cst.add_constraint("b + c >= 2", variable_precision=True)
# Creation of the problem
prb = Problem()
prb.create_problem(var, cst, obj_func)
# Solve the problem with the Dwave Quantum Annealer
solution = Solver().solve_Dwave_quantum_annealer(prb, token=token)
Detailed documentation and examples are available at ReadTheDocs.
Acknowledgements
The Munich Quantum Toolkit has been supported by the European
Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement
No. 101001318), the Bavarian State Ministry for Science and Arts through the Distinguished Professorship Program, as well as the
Munich Quantum Valley, which is supported by the Bavarian state government with funds from the Hightech Agenda Bayern Plus.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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