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Dissipative interaction facilitates the global phase locking of a network of lasers with generally complex graph topologies. Recently, we showed that the equilibrium states of such laser networks are optimal solutions of governing cost functions that are of non-convex quadratic form. This realization allows for mapping a large class of non-convex optimization problems onto laser networks, which provides a promising route for optically solving such computationally-hard problems. Here, by numerical simulation of the underlying dynamical equations, we investigate the accuracy of the solutions obtained for well-known non-convex problems and discuss the role of parameter tuning for escaping the local minima.
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