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arXiv · 2412.18979

Quantum memristors for neuromorphic quantum machine learning

Lucas Lamata
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Abstract

Quantum machine learning may permit to realize more efficient machine learning calculations with near-term quantum devices. Among the diverse quantum machine learning paradigms which are currently being considered, quantum memristors are promising as a way of combining, in the same quantum hardware, a unitary evolution with the nonlinearity provided by the measurement and feedforward. Thus, an efficient way of deploying neuromorphic quantum computing for quantum machine learning may be enabled.

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Lucas Lamata. 2024-12-25. Quantum memristors for neuromorphic quantum machine learning. https://arxiv.org/abs/2412.18979

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