2 citations · 3 across the 5 of their papers we have counts for
5 papers
An Introduction to the Quantum Approximate Optimization Algorithm
Alessandro Giovagnoli
The Quantum Approximate Optimization Algorithm (QAOA) is a promising variational quantum algorithm introduced to tackle classically intractable combinatorial optimization problems.…
A Quantum Range-Doppler Algorithm for Synthetic Aperture Radar Image Formation
Alessandro Giovagnoli, Sigurd Huber, Gerhard Krieger
Synthetic aperture radar (SAR) is a well established technology in the field of Earth remote sensing. Over the years, the resolution of SAR images has been steadily improving and t…
Weight Re-Mapping for Variational Quantum Algorithms
Michael Kölle, Alessandro Giovagnoli, Jonas Stein +5
Inspired by the remarkable success of artificial neural networks across a broad spectrum of AI tasks, variational quantum circuits (VQCs) have recently seen an upsurge in quantum m…
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture
Alessandro Giovagnoli, Yunpu Ma, Volker Tresp
Quantum Machine Learning (QML) is a recent and rapidly evolving field where the theoretical framework and logic of quantum mechanics are employed to solve machine learning tasks. V…
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping
Michael Kölle, Alessandro Giovagnoli, Jonas Stein +3
In recent years, quantum machine learning has seen a substantial increase in the use of variational quantum circuits (VQCs). VQCs are inspired by artificial neural networks, which…