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Document type:
Masterarbeit 
Author(s):
Martin Knudsen 
Title:
Neural Networks on Continuous-Variable Quantum Computers 
Translated title:
Neural Networks on Continuous-Variable Quantum Computers 
Abstract:
In this work, variational circuits on a continuous-variable (CV) quantum computer are simulated using the PennyLane Framework and used to solve several classic machine learning tasks. Utilizing the CV approach, it is possible to directly encode real numbers into each mode, which is an advantage for more complicated architectures. The necessary background theory in quantum optics and CV quantum computing is presented and used to deduce how neural network inspired architectures can be realized. Th...    »
 
Translated abstract:
In this work, variational circuits on a continuous-variable (CV) quantum computer are simulated using the PennyLane Framework and used to solve several classic machine learning tasks. Utilizing the CV approach, it is possible to directly encode real numbers into each mode, which is an advantage for more complicated architectures. The necessary background theory in quantum optics and CV quantum computing is presented and used to deduce how neural network inspired architectures can be realized. Th...    »
 
Keywords:
quantum computing, quantum optics, quantum machine learning, neural networks 
Subject:
DAT Datenverarbeitung, Informatik; PHY Physik 
DDC:
000 Informatik, Wissen, Systeme; 530 Physik 
Advisor:
Mendl, Christian (Prof. Dr.) 
Referee:
Mendl, Christian (Prof. Dr.) 
Date of acceptation:
15.10.2020 
Year:
2020 
Pages:
84 
Language:
en 
Language from translation:
en 
University:
Technische Universität München 
Faculty:
Fakultät für Informatik 
Presentation date:
25.11.2020