Quantum memristors for neuromorphic quantum machine learning

• URL: http://arxiv.org/abs/2412.18979v1
• Date: Wed, 25 Dec 2024 20:21:24 GMT
• Title: Quantum memristors for neuromorphic quantum machine learning
• Authors: Lucas Lamata,
• Abstract summary: 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. An efficient way of deploying neuromorphic quantum computing for quantum machine learning may be enabled.
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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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