22 citations · 49 across the 6 of their papers we have counts for
6 papers
Resource Saving via Ensemble Techniques for Quantum Neural Networks
Massimiliano Incudini, Michele Grossi, Andrea Ceschini +4
Quantum neural networks hold significant promise for numerous applications, particularly as they can be executed on the current generation of quantum hardware. However, due to limi…
Quasi-Chaotic Oscillators Based on Modular Quantum Circuits
Andrea Ceschini, Antonello Rosato, Massimo Panella
Digital circuits based on residue number systems have been considered to produce a pseudo-random behavior. The present work is an initial step towards the complete implementation o…
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks
Antonello Rosato, Massimo Panella, Evgeny Osipov +1
A change of the prevalent supervised learning techniques is foreseeable in the near future: from the complex, computational expensive algorithms to more flexible and elementary tra…
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks
Antonello Rosato, Massimo Panella, Denis Kleyko
In the supervised learning domain, considering the recent prevalence of algorithms with high computational cost, the attention is steering towards simpler, lighter, and less comput…
Perceptron Theory Can Predict the Accuracy of Neural Networks
Denis Kleyko, Antonello Rosato, E. Paxon Frady +2
Multilayer neural networks set the current state of the art for many technical classification problems. But, these networks are still, essentially, black boxes in terms of analyzin…
An Algorithm to Speed Up Quantum Search
Giuseppe Martinelli, Massimo Panella
The paper has been withdrawn because the research work is still in progress.