Exploratory study examines noise impact on quantum neural networks, suggesting important performance implications.
This preprint explores the effects of noise on quantum neural networks. Through computational experiments, simulations, and comparison with classical models, this work aims to investigate how different noise types and magnitudes impact model performance. It documents the project's methodology, results, and limitations. All results are preliminary.
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Dayana Patricia Rosa (2026) studied this question.
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