<p>This document present a brief introduction to basic notions in quantum computing and try to<br>give elementary ideas of how a quantum algorithm works. In the second part, attention is given to<br>a classical computing problem : learning with a perceptron. The classical process of learning with a<br>perceptron is explained in the third part, and a quantum gate version of the perceptron is introduced.<br>In the fourth part we focus on quantum computation aspects of oracle identication and give results<br>that, unfortunately, restrict the hopes that we had to construct a one query algorithm. Finally, in the<br>fth part we provide ideas about possible modications to improve current algorithms.</p
Includes bibliographical references (pages 36-37)Quantum computers will be capable of new modes of c...
Most proposals for quantum neural networks have skipped over the problem of how to train the networ...
In recent years, researchers are investing more and more resources in understanding to what extent q...
This thesis studies strengths and weaknesses of quantum computers. In the first part we present thre...
This dissertation explores results at the intersection of two important branches of theoretical comp...
We propose a method for quantum algorithm design assisted by machine learning. The method uses a qua...
In recent years, Quantum Computing witnessed massive improvements in terms of available resources an...
In the past few decades, researchers have extensively investigated the applications of quantum compu...
The principal aim of this thesis is to try to simulate the functioning of a quantum perceptron, that...
This paper surveys quantum learning theory: the theoretical aspects of machine learning using quantu...
Quantum information processing is the result of using the physical reality that quantum theory tells...
Despite its undeniable success, classical machine learning remains a resource-intensive process. Pra...
This paper overviews the basic principles and recent advances in the emerging field of Quantum Compu...
*** Webcast link at the bottom of the Indico page *** General description of the course Quant...
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the ...
Includes bibliographical references (pages 36-37)Quantum computers will be capable of new modes of c...
Most proposals for quantum neural networks have skipped over the problem of how to train the networ...
In recent years, researchers are investing more and more resources in understanding to what extent q...
This thesis studies strengths and weaknesses of quantum computers. In the first part we present thre...
This dissertation explores results at the intersection of two important branches of theoretical comp...
We propose a method for quantum algorithm design assisted by machine learning. The method uses a qua...
In recent years, Quantum Computing witnessed massive improvements in terms of available resources an...
In the past few decades, researchers have extensively investigated the applications of quantum compu...
The principal aim of this thesis is to try to simulate the functioning of a quantum perceptron, that...
This paper surveys quantum learning theory: the theoretical aspects of machine learning using quantu...
Quantum information processing is the result of using the physical reality that quantum theory tells...
Despite its undeniable success, classical machine learning remains a resource-intensive process. Pra...
This paper overviews the basic principles and recent advances in the emerging field of Quantum Compu...
*** Webcast link at the bottom of the Indico page *** General description of the course Quant...
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the ...
Includes bibliographical references (pages 36-37)Quantum computers will be capable of new modes of c...
Most proposals for quantum neural networks have skipped over the problem of how to train the networ...
In recent years, researchers are investing more and more resources in understanding to what extent q...