Rocutto, Lorenzo
(2024)
Assessing the current state of adiabatic quantum computers in solving challenging computational problems, [Dissertation thesis], Alma Mater Studiorum Università di Bologna.
Dottorato di ricerca in
Data science and computation, 35 Ciclo. DOI 10.48676/unibo/amsdottorato/11302.
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Abstract
The present Thesis aims to achieve three main objectives. The first is to present and comment the experimental results obtained during my PhD, which show that performances of modern AQCs are steadily improving thanks to both hardware and software advancements, and are getting close to practical utility.
The second objective is to provide the reader with an extensive literature review regarding the design, the use, the capabilities, and the possible applications of AQCs. Indeed, there is currently no document or book on AQCs that contains the comprehensive amount of commented and ordered references presented in this Thesis. Thus, I hope this work can serve as an introductory compendium to a good portion of the modern knowledge regarding this topic.
The third objective is to provide the reader with a collection of the most popular and effective ways to manipulate an AQC at the software (middelware) level in order to enhance its performances.
Abstract
The present Thesis aims to achieve three main objectives. The first is to present and comment the experimental results obtained during my PhD, which show that performances of modern AQCs are steadily improving thanks to both hardware and software advancements, and are getting close to practical utility.
The second objective is to provide the reader with an extensive literature review regarding the design, the use, the capabilities, and the possible applications of AQCs. Indeed, there is currently no document or book on AQCs that contains the comprehensive amount of commented and ordered references presented in this Thesis. Thus, I hope this work can serve as an introductory compendium to a good portion of the modern knowledge regarding this topic.
The third objective is to provide the reader with a collection of the most popular and effective ways to manipulate an AQC at the software (middelware) level in order to enhance its performances.
Tipologia del documento
Tesi di dottorato
Autore
Rocutto, Lorenzo
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
35
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Adiabatic Quantum Computer, Quantum Annealing, Quantum Computer, Machine Learning, Unsupervised Learning, Optimization Problems
URN:NBN
DOI
10.48676/unibo/amsdottorato/11302
Data di discussione
10 Aprile 2024
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Rocutto, Lorenzo
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
35
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Adiabatic Quantum Computer, Quantum Annealing, Quantum Computer, Machine Learning, Unsupervised Learning, Optimization Problems
URN:NBN
DOI
10.48676/unibo/amsdottorato/11302
Data di discussione
10 Aprile 2024
URI
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