Abstract: We propose a quantum machine learning framework for approximating solutions to high-dimensional parabolic partial differential equations (PDEs) that can be reformulated as backward ...
Abstract: This article revisits the consensus control problem of networked parabolic partial differential equation (PDE) systems perturbed to nonlinear terms and uncertain disturbances. The presence ...
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