Automatic Differentiation for Inverse Problems with Applications in Quantum Transport (2307.09311v1)

Published 18 Jul 2023 in cs.LG, cs.CE, and physics.comp-ph

Abstract: A neural solver and differentiable simulation of the quantum transmitting boundary model is presented for the inverse quantum transport problem. The neural solver is used to engineer continuous transmission properties and the differentiable simulation is used to engineer current-voltage characteristics.

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