Giovanni Acampora

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Full Professor in Computer Science

University of Naples Federico II

Italy

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Giovanni Acampora is a Full Professor in Computer Science at the University of Naples Federico II, Italy. His research areas include quantum artificial intelligence, quantum fuzzy logic, and machine learning methodologies. He has contributed to significant advancements in quantum computing applications and edge detection techniques, as reflected in his recent publications.

Recent Grants

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GestiWorld

Open Date: 2017-08-01

Close Date: 2018-10-01

Articles (15)

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Collaborators (7)

Andrea Miano

Assistant Professor

University of Naples Federico II

ITALY

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Giovanni De Gregorio

Università degli Studi della Campania Luigi Vanvitelli

ITALY

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Andrey Alexandrov

Istituto Nazionale di Fisica Nucleare

ITALY

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Amir Pourabdollah

Senior Lecturer

University of Nottingham

UNITED KINGDOM

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Stefano Lambiase

Aalborg University

DENMARK

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Autilia Vitiello

University of Naples Federico II

ITALY

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Manuela Bonano

ITALY

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Giovanni Acampora

Research Interests

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Recent Grants

Articles (15)

Quantum artificial intelligence: A survey

Model-independent machine learning approach for nanometric axial localization and tracking

Installation and performance of the 3rd Veto plane at the SND@LHC detector

Quantum fuzzy logic for edge detection: A demonstration on NISQ hardware

Quantum Fuzzy Inference Engine for Particle Accelerator Control

Improving quantum genetic optimization through granular computing

Training circuit-based quantum classifiers through memetic algorithms

On the Implementation of Fuzzy Inference Engines on Quantum Computers

D-NISQ: A reference model for Distributed Noisy Intermediate-Scale Quantum computers

A Serious Mixed-Reality Game for Training Police Officers in Tagging Crime Scenes

Genetic algorithms as classical optimizer for the Quantum Approximate Optimization Algorithm

QUANTUMOONLIGHT: A low-code platform to experiment with quantum machine learning

Fuzzy Logic on Quantum Annealers

On the Joint Exploitation of Satellite DInSAR Measurements and DBSCAN-Based Techniques for Preliminary Identification and Ranking of Critical Constructions in a Built Environment

Using quantum amplitude amplification in genetic algorithms

Collaborators (7)

Andrea Miano

Giovanni De Gregorio

Andrey Alexandrov

Amir Pourabdollah

Stefano Lambiase

Autilia Vitiello

Manuela Bonano

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