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Variational learning for quantum artificial neural networks
Francesco Tacchino, Stefano Mangini, Panagiotis Kl. Barkoutsos +4
In the last few years, quantum computing and machine learning fostered rapid developments in their respective areas of application, introducing new perspectives on how information…
Quantum computing models for artificial neural networks
Stefano Mangini, Francesco Tacchino, Dario Gerace +2
Neural networks are computing models that have been leading progress in Machine Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small scale quan…
Quantum computing model of an artificial neuron with continuously valued input data
Stefano Mangini, Francesco Tacchino, Dario Gerace +2
Artificial neural networks have been proposed as potential algorithms that could benefit from being implemented and run on quantum computers. In particular, they hold promise to gr…
Continuous Variable Quantum Perceptron
Fabio Benatti, Stefano Mancini, Stefano Mangini
We present a model of Continuous Variable Quantum Perceptron (CVQP) whose architecture implements a classical perceptron. The necessary non-linearity is obtained via measuring the…