We propose machine learning (ML) methods to characterize the memristive
...
We introduce a novel methodology that leverages the strength of
Physics-...
The Hodgkin-Huxley model describes the behavior of the membrane voltage ...
Quantum autoencoders allow for reducing the amount of resources in a qua...
Memristors, resistors with memory whose outputs depend on the history of...
As the building block in symmetric cryptography, designing Boolean funct...
A central concept in the connection between physics and information theo...
We propose a quantum machine learning algorithm for efficiently solving ...