Feliziani, Annalisa (A.A. 2020/2021) Quantum computing explained in a (Qu)Bit! Potentialities, present fragilities and future prospects: practical implementation using the Python language. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 82. [Bachelor's Degree Thesis]

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Abstract/Index

Preliminaries. Quantum supremacy and error correction. Problems on the feasibility of quantum computing. Research questions. Literature review. Previous research and research gaps. Method. Machine learining theory. Applications of machine learning in finance. Quantum computing theory. The limitations of current classical computers. Quantum computing. Quantum machine learning. Quantum Knn. Quantum machine learning in finance. Python implementation using qiskit. Data pre-processing. The code. Results and limitations. QKnn vs. Knn. QML vs. ML. Current State of development of quantum computers and simulators: an overview.

References

Bibliografia: pp. 81-82.

Thesis Type:	Bachelor's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair:	Artificial intelligence and machine learning
Thesis Supervisor:	Italiano, Giuseppe Francesco
Academic Year:	2020/2021
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	29 Mar 2022 14:55
Last Modified:	29 Mar 2022 14:55
URI:	https://tesi.luiss.it/id/eprint/31879

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