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09/10/2023
Machine Learning for maximizing the memristivity of single and coupled quantum memristors
We propose machine learning (ML) methods to characterize the memristive ...
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09/08/2023
Physics-Informed Neural Networks for an optimal counterdiabatic quantum computation
We introduce a novel methodology that leverages the strength of Physics-...
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07/27/2018
Quantized Hodgkin-Huxley Model for Quantum Neurons
The Hodgkin-Huxley model describes the behavior of the membrane voltage ...
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07/27/2018
Experimental Implementation of a Quantum Autoencoder via Quantum Adders
Quantum autoencoders allow for reducing the amount of resources in a qua...
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07/13/2018
Perceptrons from Memristors
Memristors, resistors with memory whose outputs depend on the history of...
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06/22/2018
Quantum computing cryptography: Unveiling cryptographic Boolean functions with quantum annealing
As the building block in symmetric cryptography, designing Boolean funct...
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05/13/2018
Kolmogorov-Sinai entropy and dissipation in driven classical Hamiltonian systems
A central concept in the connection between physics and information theo...
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12/16/2016