Synthesis of Linear Coherent Quantum Control Systems Using A Differential Evolution Algorithm


We have a tendency to propose a new method to construct an optimal linear coherent quantum controller based on an evolutionary optimization technique, namely a differential evolution algorithm. The aim is to supply a straightforward approach to accommodate both nonlinear and nonconvex constraints arising in the coherent quantum controller synthesis. The solution to the current control drawback involves a advanced algebraic Riccati equation, that corresponds to a physical realizability condition for the coherent quantum controller. The proposed technique is demonstrated through an example of an entanglement control problem for a quantum network comprising 2 cascaded optical parametric amplifiers.

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