Entanglement detection with quantum support vector machine (QSVM) on near-term quantum devices

Abstract Detecting and quantifying quantum entanglement remain significant challenges in the noisy intermediate-scale quantum (NISQ) era. This study presents the implementation of quantum support vector machines (QSVMs) on IBM quantum devices to identify and classify entangled states. By employing q...

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Auteurs principaux:	Mahmoud Mahdian, Zahra Mousavi
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-04-01
Collection:	Scientific Reports
Sujets:	Quantum entanglement Quantum machine learning Quantum support vector machine
Accès en ligne:	https://doi.org/10.1038/s41598-025-95897-9
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