We present an encoding of some NP-Complete problems in Abstract Argumentation to Quadratic Unconstrained Binary Optimization (QUBO) problems. A solution for a QUBO problem corresponds to minimize a quadratic function over binary variables (0/1), whose coefficients can be represented by a symmetric square matrix. Being this problem NP-Complete as well, there exist approximate solvers: from the D-Wave Ocean SDK we test a simulated annealing algorithm and a real quantum annelaer provided by the Leap (TM) Quantum Cloud Service. Hence, we propose a new encoding for Abstract Argumentation problems, which will benefit from the future development of quantum computation.

Abstract Argumentation Goes Quantum: An Encoding to QUBO Problems

Marco Baioletti;Francesco Santini
2022

Abstract

We present an encoding of some NP-Complete problems in Abstract Argumentation to Quadratic Unconstrained Binary Optimization (QUBO) problems. A solution for a QUBO problem corresponds to minimize a quadratic function over binary variables (0/1), whose coefficients can be represented by a symmetric square matrix. Being this problem NP-Complete as well, there exist approximate solvers: from the D-Wave Ocean SDK we test a simulated annealing algorithm and a real quantum annelaer provided by the Leap (TM) Quantum Cloud Service. Hence, we propose a new encoding for Abstract Argumentation problems, which will benefit from the future development of quantum computation.
2022
978-3-031-20861-4
978-3-031-20862-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1553133
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