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Detecting underdetermination in parameterized quantum circuits

A central question in machine learning is how reliable the predictions of a trained model are. Reliability includes the identification of instances for which a model is likely not to be trusted based on an analysis of the learning system itself. Such unreliability for an input may arise from the mod...

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Principais autores: Marie Kempkes, Jakob Spiegelberg, Evert van Nieuwenburg, Vedran Dunjko
Formato: Artigo
Idioma:Inglês
Publicado: IOP Publishing 2026-01-01
Series:Machine Learning: Science and Technology
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Acceso en liña:https://doi.org/10.1088/2632-2153/ae304e
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