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Bibliographic Details
Main Authors: Biel, Sascha, Gaede, Carl Alexander, Glaser, Amiel, Wolter, Jan, Schelle, Alexej
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2605.15212
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author Biel, Sascha
Gaede, Carl Alexander
Glaser, Amiel
Wolter, Jan
Schelle, Alexej
author_facet Biel, Sascha
Gaede, Carl Alexander
Glaser, Amiel
Wolter, Jan
Schelle, Alexej
contents We propose a new numerical method to estimate the fault tolerance of failure modes in digital circuit structures with a generative network sampling technique. From a random input of generated bitwise configurations of ideally digitalised analog currents in the digital circuit design with classical logical gates, expected output currents are compared to the realistic signals of a numerical experiment at the discriminator part of the Generative Adversarial Network (GAN) to calculate the deviation from ideal digital electronic signals, including various error modes, such as missing or interchanged logical devices. From the present analysis of a representation of the GAN in terms of complex variables, it is possible to evaluate the robustness in electronic designs by differentiating the impact of failure modes associated with different classical logical elements in the circuit.
format Preprint
id arxiv_https___arxiv_org_abs_2605_15212
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Fault tolerance estimation in digital circuits with visualised generative networks
Biel, Sascha
Gaede, Carl Alexander
Glaser, Amiel
Wolter, Jan
Schelle, Alexej
Hardware Architecture
Artificial Intelligence
Computational Engineering, Finance, and Science
We propose a new numerical method to estimate the fault tolerance of failure modes in digital circuit structures with a generative network sampling technique. From a random input of generated bitwise configurations of ideally digitalised analog currents in the digital circuit design with classical logical gates, expected output currents are compared to the realistic signals of a numerical experiment at the discriminator part of the Generative Adversarial Network (GAN) to calculate the deviation from ideal digital electronic signals, including various error modes, such as missing or interchanged logical devices. From the present analysis of a representation of the GAN in terms of complex variables, it is possible to evaluate the robustness in electronic designs by differentiating the impact of failure modes associated with different classical logical elements in the circuit.
title Fault tolerance estimation in digital circuits with visualised generative networks
topic Hardware Architecture
Artificial Intelligence
Computational Engineering, Finance, and Science
url https://arxiv.org/abs/2605.15212