Roberto Schiattarella

Orcid: 0000-0002-1819-2288

According to our database1, Roberto Schiattarella authored at least 15 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
On the Implementation of Fuzzy Inference Engines on Quantum Computers.
IEEE Trans. Fuzzy Syst., May, 2023

D-NISQ: A reference model for Distributed Noisy Intermediate-Scale Quantum computers.
Inf. Fusion, 2023

Fuzzy Inference on Quantum Annealers.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Distributing Fuzzy Inference Engines on Quantum Computers.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

A Comparison of Quantum Computer Architectures in Running Fuzzy Inference Engines.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

On the Effect of Quantum Noise in Quantum Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Application of Quantum Genetic Algorithms to Network Signal Setting Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Genetic Algorithms for Constructing Effective Nuclear Shell-Model Hamiltonians.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Fuzzy Logic on Quantum Annealers.
IEEE Trans. Fuzzy Syst., 2022

Using quantum amplitude amplification in genetic algorithms.
Expert Syst. Appl., 2022

Implementing Defuzzification Operators on Quantum Annealers.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Quantum Mating Operator: A New Approach to Evolve Chromosomes in Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Deep neural networks for quantum circuit mapping.
Neural Comput. Appl., 2021

Quantum genetic selection: using a quantum computer to select individuals in genetic algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Measuring Distance between Quantum States by Fuzzy Similarity Operators.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021


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