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arXiv · 2307.09311

Automatic Differentiation for Inverse Problems with Applications in Quantum Transport

Ivan Williams·Eric Polizzi
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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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Ivan Williams, Eric Polizzi. 2023-07-18. Automatic Differentiation for Inverse Problems with Applications in Quantum Transport. https://arxiv.org/abs/2307.09311

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