2024
DOI: 10.1007/s13218-024-00864-7
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Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK

Florian J. Kiwit,
Maximilian A. Wolf,
Marwa Marso
et al.

Abstract: Quantum computing promises a disruptive impact on machine learning algorithms, taking advantage of the exponentially large Hilbert space available. However, it is not clear how to scale quantum machine learning (QML) to industrial-level applications. This paper investigates the scalability and noise resilience of quantum generative learning applications. We consider the training performance in the presence of statistical noise due to finite-shot noise statistics and quantum noise due to decoherence to analyze … Show more

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