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:20201106T093000Z
DTEND;VALUE=DATE-TIME:20201106T113000Z
DTSTAMP;VALUE=DATE-TIME:20201130T061400Z
UID:indico-event-970903@indico.cern.ch
DESCRIPTION:Speakers: Elias Fernandez-Combarro Alvarez (Universidad de Ovi
edo (ES))\n*** The webcast is now over - The recording link is posted at t
he bottom of this page ***\n\nGeneral description of the course\n\nQuantum
computing is one the most promising new trends in information processing.
In this course\, we will introduce from scratch the basic concepts of the
quantum circuit model (qubits\, gates and measures) and use them to study
some of the most important quantum algorithms and protocols\, including t
hose that can be implemented with a few qubits (BB84\, quantum teleportati
on\, superdense coding...) as well as those that require multi-qubit syste
ms (Deutsch-Jozsa\, Grover\, Shor..). We will also cover some of the most
recent applications of quantum computing in the fields of optimization and
simulation (with special emphasis on the use of quantum annealing\, the q
uantum approximate optimization algorithm and the variational quantum eige
nsolver) and quantum machine learning (for instance\, through the use of q
uantum support vector machines and quantum variational classifiers). We wi
ll also give examples of how these techniques can be used in chemistry sim
ulations and high energy physics problems.\n\nThe focus of the course will
be on the practical aspects of quantum computing and on the implementatio
n of algorithms in quantum simulators and actual quantum computers (as the
ones available on the IBM Quantum Experience and D-Wave Leap). No previou
s knowledge of quantum physics is required and\, from the mathematical poi
nt of view\, only a good command of basic linear algebra is assumed. Some
familiarity with the python programming language would be helpful\, but is
not required either. \n\n====\n\nLecture 1: Introduction\n\nWhat is quan
tum computing? Applications of quantum computing. Hardware and software fo
r quantum computing. Elements of the quantum circuit model. Introduction t
o 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 M
athematics (1997\, award for second highest grades in the country) and Com
puter 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 Mathematics (Oviedo\, 2001) with a dissertation on the propert
ies of some computable predicates under the supervision of Prof. Andrey Mo
rozov. Since 2009\, Elías F. Combarro has been an associate professor at
the Computer Science Department of the University of Oviedo. He has publis
hed more than 50 research papers in international journals on topics such
as Computability Theory\, Machine Learning\, Fuzzy Measures and Computati
onal Algebra. His current research focuses on the application Quantum Comp
uting to algebraic\, optimization and machine learning problems. From July
2020 he has been a Cooperation Associate at CERN openlab.\n\n \nhttps://
indico.cern.ch/event/970903/
LOCATION:
URL:https://indico.cern.ch/event/970903/
END:VEVENT
BEGIN:VEVENT
SUMMARY:QTI Brainstorm 2020 - Part 1
DTSTART;VALUE=DATE-TIME:20201112T140000Z
DTEND;VALUE=DATE-TIME:20201112T163000Z
DTSTAMP;VALUE=DATE-TIME:20201130T061400Z
UID:indico-event-972819@indico.cern.ch
DESCRIPTION:This is a first informal brainstorming event for the CERN comm
unity interested in quantum technologies to come up together with a few co
ncrete ideas for medium-term projects and collaborations. The first part o
f the event sets the scene of the current activities of the CERN Quantum T
echnology Initiative and the current ideas in the four areas of Quantum C
omputing\, Sensing\, Theory and Communications. A second event to be sched
uled at the end of November will elaborate an initial draft of proposals a
nd plans for the next three years.\n\nRegistration to the event is recomme
nded. Your name and email address is collected only for the purpose of org
anizing the event and communicating with you about its logistics. \n\n \
nhttps://indico.cern.ch/event/972819/
LOCATION:
URL:https://indico.cern.ch/event/972819/
END:VEVENT
BEGIN:VEVENT
SUMMARY:A practical introduction to quantum computing: from qubits to quan
tum machine learning and beyond
DTSTART;VALUE=DATE-TIME:20201113T093000Z
DTEND;VALUE=DATE-TIME:20201113T113000Z
DTSTAMP;VALUE=DATE-TIME:20201130T061400Z
UID:indico-event-970904@indico.cern.ch
DESCRIPTION:Speakers: Elias Fernandez-Combarro Alvarez (Universidad de Ovi
edo (ES))\n*** The webcast is now over - The recording link is posted at t
he bottom of this page ***\n\nGeneral description of the course\n\nQuantum
computing is one the most promising new trends in information processing.
In this course\, we will introduce from scratch the basic concepts of the
quantum circuit model (qubits\, gates and measures) and use them to study
some of the most important quantum algorithms and protocols\, including t
hose that can be implemented with a few qubits (BB84\, quantum teleportati
on\, superdense coding...) as well as those that require multi-qubit syste
ms (Deutsch-Jozsa\, Grover\, Shor..). We will also cover some of the most
recent applications of quantum computing in the fields of optimization and
simulation (with special emphasis on the use of quantum annealing\, the q
uantum approximate optimization algorithm and the variational quantum eige
nsolver) and quantum machine learning (for instance\, through the use of q
uantum support vector machines and quantum variational classifiers). We wi
ll also give examples of how these techniques can be used in chemistry sim
ulations and high energy physics problems.\n\nThe focus of the course will
be on the practical aspects of quantum computing and on the implementatio
n of algorithms in quantum simulators and actual quantum computers (as the
ones available on the IBM Quantum Experience and D-Wave Leap). No previou
s knowledge of quantum physics is required and\, from the mathematical poi
nt of view\, only a good command of basic linear algebra is assumed. Some
familiarity with the python programming language would be helpful\, but is
not required either. \n\n====\n\nLecture 2: One and two-qubit systems (P
art 1) \n\nQuantum key distribution with the BB84 protocol. Two-qubit gat
es. The CHSH game. \n\n===\n\nBiography of the speaker\n\nElías F. Comba
rro holds degrees from the University of Oviedo (Spain) in both Mathemati
cs (1997\, award for second highest grades in the country) and Computer Sc
ience (2002\, award for highest grades in the country). After some researc
h stays at the Novosibirsk State University (Russia)\, he obtained a Ph.D.
in Mathematics (Oviedo\, 2001) with a dissertation on the properties of s
ome computable predicates under the supervision of Prof. Andrey Morozov. S
ince 2009\, Elías F. Combarro has been an associate professor at the Comp
uter Science Department of the University of Oviedo. He has published more
than 50 research papers in international journals on topics such as Comp
utability Theory\, Machine Learning\, Fuzzy Measures and Computational Alg
ebra. His current 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 \nhttps://indico.c
ern.ch/event/970904/
LOCATION:
URL:https://indico.cern.ch/event/970904/
END:VEVENT
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:20201130T061400Z
UID:indico-event-970905@indico.cern.ch
DESCRIPTION:Speakers: Elias Fernandez-Combarro Alvarez (Universidad de Ovi
edo (ES))\n*** The webcast is now over - The recording link is posted at t
he bottom of this page ***\n\nGeneral description of the course\n\nQuantum
computing is one the most promising new trends in information processing.
In this course\, we will introduce from scratch the basic concepts of the
quantum circuit model (qubits\, gates and measures) and use them to study
some of the most important quantum algorithms and protocols\, including t
hose that can be implemented with a few qubits (BB84\, quantum teleportati
on\, superdense coding...) as well as those that require multi-qubit syste
ms (Deutsch-Jozsa\, Grover\, Shor..). We will also cover some of the most
recent applications of quantum computing in the fields of optimization and
simulation (with special emphasis on the use of quantum annealing\, the q
uantum approximate optimization algorithm and the variational quantum eige
nsolver) and quantum machine learning (for instance\, through the use of q
uantum support vector machines and quantum variational classifiers). We wi
ll also give examples of how these techniques can be used in chemistry sim
ulations and high energy physics problems.\n\nThe focus of the course will
be on the practical aspects of quantum computing and on the implementatio
n of algorithms in quantum simulators and actual quantum computers (as the
ones available on the IBM Quantum Experience and D-Wave Leap). No previou
s knowledge of quantum physics is required and\, from the mathematical poi
nt of view\, only a good command of basic linear algebra is assumed. Some
familiarity with the python programming language would be helpful\, but is
not required either. \n\n====\n\nLecture 3: One and two-qubit systems (P
art 2) \n\nQuantum teleportation. Superdense coding. Deutsch algorithm.
\n\n===\n\nBiography of the speaker\n\nElías F. Combarro holds deg
rees from the University of Oviedo (Spain) in both Mathematics (1997\, aw
ard for second highest grades in the country) and Computer Science (2002\,
award for highest grades in the country). After some research stays at th
e Novosibirsk State University (Russia)\, he obtained a Ph.D. in Mathemati
cs (Oviedo\, 2001) with a dissertation on the properties of some computabl
e predicates under the supervision of Prof. Andrey Morozov. Since 2009\, E
lías F. Combarro has been an associate professor at the Computer Science
Department of the University of Oviedo. He has published more than 50 rese
arch papers in international journals on topics such as Computability The
ory\, Machine Learning\, Fuzzy Measures and Computational Algebra. His cur
rent research focuses on the application Quantum Computing to algebraic\,
optimization and machine learning problems. From July 2020 he has been a C
ooperation Associate at CERN openlab.\n\n \nhttps://indico.cern.ch/event/
970905/
LOCATION:
URL:https://indico.cern.ch/event/970905/
END:VEVENT
BEGIN:VEVENT
SUMMARY:A practical introduction to quantum computing: from qubits to quan
tum machine learning and beyond
DTSTART;VALUE=DATE-TIME:20201127T093000Z
DTEND;VALUE=DATE-TIME:20201127T113000Z
DTSTAMP;VALUE=DATE-TIME:20201130T061400Z
UID:indico-event-970906@indico.cern.ch
DESCRIPTION:Speakers: Elias Fernandez-Combarro Alvarez (Universidad de Ovi
edo (ES))\n*** The webcast is now over - The recording link is posted at t
he bottom of this page ***\n\nGeneral description of the course\n\nQuantum
computing is one the most promising new trends in information processing.
In this course\, we will introduce from scratch the basic concepts of the
quantum circuit model (qubits\, gates and measures) and use them to study
some of the most important quantum algorithms and protocols\, including t
hose that can be implemented with a few qubits (BB84\, quantum teleportati
on\, superdense coding...) as well as those that require multi-qubit syste
ms (Deutsch-Jozsa\, Grover\, Shor..). We will also cover some of the most
recent applications of quantum computing in the fields of optimization and
simulation (with special emphasis on the use of quantum annealing\, the q
uantum approximate optimization algorithm and the variational quantum eige
nsolver) and quantum machine learning (for instance\, through the use of q
uantum support vector machines and quantum variational classifiers). We wi
ll also give examples of how these techniques can be used in chemistry sim
ulations and high energy physics problems.\n\nThe focus of the course will
be on the practical aspects of quantum computing and on the implementatio
n of algorithms in quantum simulators and actual quantum computers (as the
ones available on the IBM Quantum Experience and D-Wave Leap). No previou
s knowledge of quantum physics is required and\, from the mathematical poi
nt of view\, only a good command of basic linear algebra is assumed. Some
familiarity with the python programming language would be helpful\, but is
not required either. \n\n====\n\nLecture 4: Multiqubit systems \n\nMul
tiqubit gates and universality. Quantum parallelism. Deutsch-Jozsa algorit
hm. Grover algorithm. Shor algorithm. HHL algorithm.\n\n===\n\nBiography o
f 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 highest grades in
the country). After some research stays at the Novosibirsk State Universit
y (Russia)\, he obtained a Ph.D. in Mathematics (Oviedo\, 2001) with a dis
sertation on the properties of some computable predicates under the superv
ision of Prof. Andrey Morozov. Since 2009\, Elías F. Combarro 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\, Fuz
zy Measures and Computational Algebra. His current research focuses on the
application Quantum Computing to algebraic\, optimization and machine lea
rning problems. From July 2020 he has been a Cooperation Associate at CERN
openlab.\nhttps://indico.cern.ch/event/970906/
LOCATION:
URL:https://indico.cern.ch/event/970906/
END:VEVENT
BEGIN:VEVENT
SUMMARY:A practical introduction to quantum computing: from qubits to quan
tum machine learning and beyond
DTSTART;VALUE=DATE-TIME:20201204T093000Z
DTEND;VALUE=DATE-TIME:20201204T113000Z
DTSTAMP;VALUE=DATE-TIME:20201130T061400Z
UID:indico-event-970907@indico.cern.ch
DESCRIPTION:Speakers: Elias Fernandez-Combarro Alvarez (Universidad de Ovi
edo (ES))\n*** Webcast link at the bottom of the Indico page ***\n\nGener
al description of the course\n\nQuantum computing is one the most promisin
g new trends in information processing. In this course\, we will introduce
from scratch the basic concepts of the quantum circuit model (qubits\, ga
tes and measures) and use them to study some of the most important quantum
algorithms and protocols\, including those that can be implemented with a
few qubits (BB84\, quantum teleportation\, superdense coding...) as well
as those that require multi-qubit systems (Deutsch-Jozsa\, Grover\, Shor..
). We will also cover some of the most recent applications of quantum comp
uting in the fields of optimization and simulation (with special emphasis
on the use of quantum annealing\, the quantum approximate optimization alg
orithm and the variational quantum eigensolver) and quantum machine learni
ng (for instance\, through the use of quantum support vector machines and
quantum variational classifiers). We will also give examples of how these
techniques can be used in chemistry simulations and high energy physics pr
oblems.\n\nThe focus of the course will be on the practical aspects of qua
ntum computing and on the implementation of algorithms in quantum simulato
rs and actual quantum computers (as the ones available on the IBM Quantum
Experience and D-Wave Leap). No previous knowledge of quantum physics is r
equired and\, from the mathematical point of view\, only a good command of
basic linear algebra is assumed. Some familiarity with the python program
ming language would be helpful\, but is not required either. \n\n====\n\n
Lecture 5: Quantum algorithms for combinatorial optimization\n\nQuantum ad
iabatic computing and quantum annealing. Introduction to D-Wave Leap. Quan
tum Approximate Optimization Algorithm. \n\n===\n\nBiography of the speak
er\n\nElías F. Combarro holds degrees from the University of Oviedo (Spa
in) in both Mathematics (1997\, award for second highest grades in the cou
ntry) 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 Mathematics (Oviedo\, 2001) with a dissertation o
n the properties of some computable predicates under the supervision of Pr
of. Andrey Morozov. Since 2009\, Elías F. Combarro 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 o
n topics such as Computability Theory\, Machine Learning\, Fuzzy Measures
and Computational Algebra. His current research focuses on the application
Quantum Computing to algebraic\, optimization and machine learning proble
ms. From July 2020 he has been a Cooperation Associate at CERN openlab.\nh
ttps://indico.cern.ch/event/970907/
LOCATION:
URL:https://indico.cern.ch/event/970907/
END:VEVENT
BEGIN:VEVENT
SUMMARY:A practical introduction to quantum computing: from qubits to quan
tum machine learning and beyond
DTSTART;VALUE=DATE-TIME:20201211T093000Z
DTEND;VALUE=DATE-TIME:20201211T113000Z
DTSTAMP;VALUE=DATE-TIME:20201130T061400Z
UID:indico-event-970908@indico.cern.ch
DESCRIPTION:Speakers: Elias Fernandez-Combarro Alvarez (Universidad de Ovi
edo (ES))\n*** Webcast link at the bottom of the Indico page ***\n\nGener
al description of the course\n\nQuantum computing is one the most promisin
g new trends in information processing. In this course\, we will introduce
from scratch the basic concepts of the quantum circuit model (qubits\, ga
tes and measures) and use them to study some of the most important quantum
algorithms and protocols\, including those that can be implemented with a
few qubits (BB84\, quantum teleportation\, superdense coding...) as well
as those that require multi-qubit systems (Deutsch-Jozsa\, Grover\, Shor..
). We will also cover some of the most recent applications of quantum comp
uting in the fields of optimization and simulation (with special emphasis
on the use of quantum annealing\, the quantum approximate optimization alg
orithm and the variational quantum eigensolver) and quantum machine learni
ng (for instance\, through the use of quantum support vector machines and
quantum variational classifiers). We will also give examples of how these
techniques can be used in chemistry simulations and high energy physics pr
oblems.\n\nThe focus of the course will be on the practical aspects of qua
ntum computing and on the implementation of algorithms in quantum simulato
rs and actual quantum computers (as the ones available on the IBM Quantum
Experience and D-Wave Leap). No previous knowledge of quantum physics is r
equired and\, from the mathematical point of view\, only a good command of
basic linear algebra is assumed. Some familiarity with the python program
ming language would be helpful\, but is not required either. \n\n====\n\n
Lecture 6: Quantum variational algorithms and quantum machine learning\n\n
Variational Quantum Eigensolver. Introduction to Quantum Machine Learning
(QSVM\, QGAN\, Quantum Classifiers...)\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 countr
y) and Computer Science (2002\, award for highest grades in the country).
After some research stays at the Novosibirsk State University (Russia)\, h
e obtained a Ph.D. in Mathematics (Oviedo\, 2001) with a dissertation on t
he properties of some computable predicates under the supervision of Prof.
Andrey Morozov. Since 2009\, Elías F. Combarro has been an associate pro
fessor at the Computer Science Department of the University of Oviedo. He
has published more than 50 research papers in international journals on t
opics such as Computability Theory\, Machine Learning\, Fuzzy Measures and
Computational Algebra. His current research focuses on the application Qu
antum Computing to algebraic\, optimization and machine learning problems.
From July 2020 he has been a Cooperation Associate at CERN openlab.\nhttp
s://indico.cern.ch/event/970908/
LOCATION:
URL:https://indico.cern.ch/event/970908/
END:VEVENT
BEGIN:VEVENT
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:20201130T061400Z
UID:indico-event-970909@indico.cern.ch
DESCRIPTION:Speakers: Elias Fernandez-Combarro Alvarez (Universidad de Ovi
edo (ES))\n*** Webcast link at the bottom of the Indico page ***\n\nGener
al description of the course\n\nQuantum computing is one the most promisin
g new trends in information processing. In this course\, we will introduce
from scratch the basic concepts of the quantum circuit model (qubits\, ga
tes and measures) and use them to study some of the most important quantum
algorithms and protocols\, including those that can be implemented with a
few qubits (BB84\, quantum teleportation\, superdense coding...) as well
as those that require multi-qubit systems (Deutsch-Jozsa\, Grover\, Shor..
). We will also cover some of the most recent applications of quantum comp
uting in the fields of optimization and simulation (with special emphasis
on the use of quantum annealing\, the quantum approximate optimization alg
orithm and the variational quantum eigensolver) and quantum machine learni
ng (for instance\, through the use of quantum support vector machines and
quantum variational classifiers). We will also give examples of how these
techniques can be used in chemistry simulations and high energy physics pr
oblems.\n\nThe focus of the course will be on the practical aspects of qua
ntum computing and on the implementation of algorithms in quantum simulato
rs and actual quantum computers (as the ones available on the IBM Quantum
Experience and D-Wave Leap). No previous knowledge of quantum physics is r
equired and\, from the mathematical point of view\, only a good command of
basic linear algebra is assumed. Some familiarity with the python program
ming language would be helpful\, but is not required either. \n\n====\n\n
Lecture 7: The future of quantum computing \n\nQuantum error correction.
What is Quantum Supremacy? Prospects for quantum computing. \n\n===\n\
nBiography of the speaker\n\nElías F. Combarro holds degrees from the Un
iversity of Oviedo (Spain) in both Mathematics (1997\, award for second hi
ghest grades in the country) and Computer Science (2002\, award for highes
t grades in the country). After some research stays at the Novosibirsk Sta
te University (Russia)\, he obtained a Ph.D. in Mathematics (Oviedo\, 2001
) with a dissertation on the properties of some computable predicates unde
r the supervision of Prof. Andrey Morozov. Since 2009\, Elías F. Combarro
has been an associate professor at the Computer Science Department of the
University of Oviedo. He has published more than 50 research papers in in
ternational journals on topics such as Computability Theory\, Machine Lea
rning\, Fuzzy Measures and Computational Algebra. His current research foc
uses on the application Quantum Computing to algebraic\, optimization and
machine learning problems. From July 2020 he has been a Cooperation Associ
ate at CERN openlab.\nhttps://indico.cern.ch/event/970909/
LOCATION:
URL:https://indico.cern.ch/event/970909/
END:VEVENT
END:VCALENDAR