Experimental verification of the quantum nature of a neural network

08/23/2022
by   Andrei T. Patrascu, et al.
0

In my previous article I mentioned for the first time that a classical neural network may have quantum properties as its own structure may be entangled. The question one may ask now is whether such a quantum property can be used to entangle other systems? The answer should be yes, as shown in what follows.

READ FULL TEXT
research
05/31/2022

Are classical neural networks quantum?

Neural networks are being used to improve the probing of the state space...
research
03/09/2023

The Robustness Verification of Linear Sound Quantum Classifiers

I present a quick and sound method for the robustness verification of a ...
research
03/30/2022

Identification of diffracted vortex beams at different propagation distances using deep learning

Orbital angular momentum of light is regarded as a valuable resource in ...
research
09/13/2023

Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments

Despite their promise to facilitate new scientific discoveries, the opaq...
research
05/31/2023

Quantum Speedups for Bayesian Network Structure Learning

The Bayesian network structure learning (BNSL) problem asks for a direct...
research
01/30/2020

Statistical Tests and Confidential Intervals as Thresholds for Quantum Neural Networks

Some basic quantum neural networks were analyzed and constructed in the ...
research
06/25/2018

Artificial Quantum Neural Network: quantum neurons, logical elements and tests of convolutional nets

We consider a model of an artificial neural network that uses quantum-me...

Please sign up or login with your details

Forgot password? Click here to reset