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SUMMARY:A practical introduction to quantum computing: from qubits to quan
tum machine learning and beyond
DTSTART;VALUE=DATE-TIME:20201218T093000Z
DTEND;VALUE=DATE-TIME:20201218T113000Z
DTSTAMP;VALUE=DATE-TIME:20210619T030000Z
UID:indico-event-970909@indico.cern.ch
CONTACT:QTI-info@cern.ch
DESCRIPTION:Speakers: Elias Fernandez-Combarro Alvarez (Universidad de Ovi
edo (ES))\n*** The webcast is now over. The YouTube and CDS recording link
s can be found with the other links at the bottom of this page. ***\n\nG
eneral description of the course\n\nQuantum computing is one the most prom
ising new trends in information processing. In this course\, we will intro
duce from scratch the basic concepts of the quantum circuit model (qubits\
, gates and measures) and use them to study some of the most important qua
ntum algorithms and protocols\, including those that can be implemented wi
th a few qubits (BB84\, quantum teleportation\, superdense coding...) as w
ell as those that require multi-qubit systems (Deutsch-Jozsa\, Grover\, Sh
or..). We will also cover some of the most recent applications of quantum
computing in the fields of optimization and simulation (with special empha
sis on the use of quantum annealing\, the quantum approximate optimization
algorithm and the variational quantum eigensolver) and quantum machine le
arning (for instance\, through the use of quantum support vector machines
and quantum variational classifiers). We will also give examples of how th
ese techniques can be used in chemistry simulations and high energy physic
s problems.\n\nThe focus of the course will be on the practical aspects of
quantum computing and on the implementation of algorithms in quantum simu
lators and actual quantum computers (as the ones available on the IBM Quan
tum Experience and D-Wave Leap). No previous knowledge of quantum physics
is required and\, from the mathematical point of view\, only a good comman
d of basic linear algebra is assumed. Some familiarity with the python pro
gramming language would be helpful\, but is not required either. \n\n====
\n\nLecture 7: The future of quantum computing \n\nQuantum error correcti
on. What is Quantum Supremacy? Prospects for quantum computing. \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 Computer Science (2002\, award for hig
hest grades in the country). After some research stays at the Novosibirsk
State University (Russia)\, he obtained a Ph.D. in Mathematics (Oviedo\, 2
001) with a dissertation on the properties of some computable predicates u
nder the supervision of Prof. Andrey Morozov. Since 2009\, Elías F. Comba
rro has been an associate professor at the Computer Science Department of
the University of Oviedo. He has published more than 50 research papers in
international journals on topics such as Computability Theory\, Machine
Learning\, Fuzzy Measures and Computational Algebra. His current research
focuses on the application Quantum Computing to algebraic\, optimization a
nd machine learning problems. From July 2020 he has been a Cooperation Ass
ociate at CERN openlab.\nhttps://indico.cern.ch/event/970909/
URL:https://indico.cern.ch/event/970909/
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