BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:A practical introduction to quantum computing: from qubits to quan
tum machine learning and beyond
DTSTART;VALUE=DATE-TIME:20201120T093000Z
DTEND;VALUE=DATE-TIME:20201120T113000Z
DTSTAMP;VALUE=DATE-TIME:20210513T040830Z
UID:indico-event-970905@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 3: One and two-qubit systems (
Part 2) \n\nQuantum teleportation. Superdense coding. Deutsch algorithm.
\n\n===\n\nBiography of the speaker\n\nElías F. Combarro holds d
egrees from the University of Oviedo (Spain) in both Mathematics (1997\,
award for second highest grades in the country) and Computer Science (2002
\, award for highest grades in the country). After some research stays at
the Novosibirsk State University (Russia)\, he obtained a Ph.D. in Mathema
tics (Oviedo\, 2001) with a dissertation on the properties of some computa
ble predicates under the supervision of Prof. Andrey Morozov. Since 2009\,
Elías F. Combarro has been an associate professor at the Computer Scienc
e Department of the University of Oviedo. He has published more than 50 re
search papers in international journals on topics such as Computability T
heory\, Machine Learning\, Fuzzy Measures and Computational Algebra. His c
urrent research focuses on the application Quantum Computing to algebraic\
, optimization and machine learning problems. From July 2020 he has been a
Cooperation Associate at CERN openlab.\n\n \n\nhttps://indico.cern.ch/ev
ent/970905/
LOCATION:
URL:https://indico.cern.ch/event/970905/
END:VEVENT
END:VCALENDAR