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SUMMARY:A practical introduction to quantum computing: from qubits to quan
tum machine learning and beyond
DTSTART;VALUE=DATE-TIME:20201106T093000Z
DTEND;VALUE=DATE-TIME:20201106T113000Z
DTSTAMP;VALUE=DATE-TIME:20210514T115652Z
UID:indico-event-970903@indico.cern.ch
DESCRIPTION:*** The webcast is now over - The recording link is posted at
the bottom of this page ***\n\nGeneral description of the course\n\nQuantu
m computing is one the most promising new trends in information processing
. In this course\, we will introduce from scratch the basic concepts of th
e quantum circuit model (qubits\, gates and measures) and use them to stud
y some of the most important quantum algorithms and protocols\, including
those that can be implemented with a few qubits (BB84\, quantum teleportat
ion\, superdense coding...) as well as those that require multi-qubit syst
ems (Deutsch-Jozsa\, Grover\, Shor..). We will also cover some of the most
recent applications of quantum computing in the fields of optimization an
d simulation (with special emphasis on the use of quantum annealing\, the
quantum approximate optimization algorithm and the variational quantum eig
ensolver) and quantum machine learning (for instance\, through the use of
quantum support vector machines and quantum variational classifiers). We w
ill also give examples of how these techniques can be used in chemistry si
mulations and high energy physics problems.\n\nThe focus of the course wil
l be on the practical aspects of quantum computing and on the implementati
on of algorithms in quantum simulators and actual quantum computers (as th
e ones available on the IBM Quantum Experience and D-Wave Leap). No previo
us knowledge of quantum physics is required and\, from the mathematical po
int of view\, only a good command of basic linear algebra is assumed. Some
familiarity with the python programming language would be helpful\, but i
s not required either. \n\n====\n\nLecture 1: Introduction\n\nWhat is qua
ntum computing? Applications of quantum computing. Hardware and software f
or quantum computing. Elements of the quantum circuit model. Introduction
to the IBM Quantum Experience\n\n===\n\nBiography of the speaker\n\nElías
F. Combarro holds degrees from the University of Oviedo (Spain) in both
Mathematics (1997\, award for second highest grades in the country) and Co
mputer Science (2002\, award for highest grades in the country). After som
e research stays at the Novosibirsk State University (Russia)\, he obtaine
d a Ph.D. in Mathematics (Oviedo\, 2001) with a dissertation on the proper
ties of some computable predicates under the supervision of Prof. Andrey M
orozov. Since 2009\, Elías F. Combarro has been an associate professor at
the Computer Science Department of the University of Oviedo. He has publi
shed more than 50 research papers in international journals on topics suc
h as Computability Theory\, Machine Learning\, Fuzzy Measures and Computat
ional Algebra. His current research focuses on the application Quantum Com
puting to algebraic\, optimization and machine learning problems. From Jul
y 2020 he has been a Cooperation Associate at CERN openlab.\n\n \n\nhttps
://indico.cern.ch/event/970903/
LOCATION:
URL:https://indico.cern.ch/event/970903/
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