Quantum memristors for neuromorphic quantum machine learning
1 Citations•2024•
Lucas Lamata
ArXiv
An efficient way of deploying neuromorphic quantum computing for quantum machine learning may be enabled.
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.