Pulse-efficient quantum machine learning

Quantum machine learning algorithms based on parameterized quantum circuits are promising candidates for near-term quantum advantage. Although these algorithms are compatible with the current generation of quantum processors, device noise limits their performance, for example by inducing an exponent...

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Bibliographic Details
Main Authors: André Melo, Nathan Earnest-Noble, Francesco Tacchino
Format: Article
Language:English
Published: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2023-10-01
Series:Quantum
Online Access:https://quantum-journal.org/papers/q-2023-10-09-1130/pdf/

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