POTENTIALS OF CONVERGENCE QUANTUM COMPUTING WITH ARTIFICIAL INTELLIGENCE: THEORETICAL STUDY AND CONCLUSIONS

Postgraduate Thesis uoadl:2922420 154 Read counter

Unit:
Κατεύθυνση Ηλεκτρονική και Ραδιοηλεκτρολογία (Ρ/Η, με πρόσθετη εξειδίκευση στις Τηλεπικοινωνίες και στην επεξεργασία και διοίκηση της Πληροφορίας)
Library of the School of Science
Deposit date:
2020-10-30
Year:
2020
Author:
Philippetis Demetris
Supervisors info:
ΔΗΜΗΤΡΗΣ ΚΟΥΤΟΥΛΑΣ, ΕΠΙΒΛΕΠΩΝ, ΠΗΡΟΦΟΡΙΚΗΣ ΚΑΙ ΤΗΛΕΠΙΚΟΙΝΩΝΙΩΝ, ΕΚΠΑ
ΔΗΜΗΤΡΗΣ ΣΥΒΡΙΔΗΣ, ΚΑΘΗΓΗΤΗΣ, ΠΛΗΡΟΦΟΡΙΚΗΣ ΚΑΙ ΤΗΛΕΠΙΚΟΙΝΩΝΙΩΝ, ΕΚΠΑ
ΑΘΑΝΑΣΙΑ ΑΛΩΝΙΣΤΙΩΤΗ, ΑΝΑΠΛΗΡΩΤΡΙΑ ΚΑΘΗΓΗΤΡΙΑ, ΠΛΗΡΟΦΟΡΙΚΗΣ ΚΑΙ ΤΗΛΕΠΙΚΟΙΝΩΝΙΩΝ, ΕΚΠΑ
Original Title:
ΔΥΝΑΤΟΤΗΤΕΣ ΣΥΝΔΕΣΗΣ ΤΗΣ ΚΒΑΝΤΙΚΗΣ ΥΠΟΛΟΓΙΣΤΙΚΗΣ ΜΕ ΤΗΝ ΤΕΧΝΗΤΗ ΝΟΗΜΟΣΥΝΗ: ΘΕΩΡΗΤΙΚΗ ΜΕΛΕΤΗ ΚΑΙ ΣΥΜΠΕΡΑΣΜΑΤΑ
Languages:
Greek
Translated title:
POTENTIALS OF CONVERGENCE QUANTUM COMPUTING WITH ARTIFICIAL INTELLIGENCE: THEORETICAL STUDY AND CONCLUSIONS
Summary:
Quantum Computing is a scientific field that studies the quantum behavior of elementary particles, such as electrons or photons, using the principles and phenomena of quantum mechanics in order to achieve complex computational processes and a high level of information processing, which constitute necessary condition for solving complex quantum problems and more. An important area of computer science that can cooperate and ultimately benefit from quantum computing is the scientific field of artificial intelligence.
A theoretical study has been conducted in order to present common features between quantum computing and artificial intelligence and how these two scientific fields could work together.
In the first and second chapter, an introduction is made about the concepts and principles of artificial intelligence and quantum computing. In the third chapter, the quantum Fourier transformation and the three basic quantum algorithms (Deutsch – Jozsa, Shor, Grover) are analyzed and actually prove that a quantum computation performs significantly faster than computations performed by corresponding classical algorithms. Chapter four presents some important common areas of application between quantum computing and artificial intelligence, such as machine learning, Bayesian networks and pattern recognition. Finally, there is a conclusion regarding the possibilities of cooperation and convergence between the two scientific field, both in the present and in the future, but also to what extent this connection is finally feasible.
Main subject category:
Science
Other subject categories:
Technology - Computer science
Keywords:
QUANTUM COMPUTING, ARTIFICIAL INTELLIGENCE
Index:
No
Number of index pages:
0
Contains images:
No
Number of references:
11
Number of pages:
38
File:
File access is restricted only to the intranet of UoA.

Δυνατότητες Σύνδεσης της Κβαντικής Υπολογιστικής με την Τεχνητή Νοημοσύνη.pdf
1 MB
File access is restricted only to the intranet of UoA.