CERN Webcast All Eventshttps://webcast.web.cern.ch/feeds/?feed_type=upcoming2020-11-30T08:24:08.484797ZAll eventsWerkzeugA practical introduction to quantum computing: from qubits to quantum machine learning and beyondhttps://webcast.web.cern.ch/old/event/9672020-11-02T15:56:41.982913Z2020-10-30T14:34:19.366316ZElias Fernandez-Combarro Alvarez<p><strong>General description of the course</strong></p>
<p>Quantum 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 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 computing in the fields of optimization and simulation (with special emphasis on the use of quantum annealing, the quantum approximate optimization algorithm and the variational quantum eigensolver) and quantum machine learning (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 problems.</p>
<p>The focus of the course will be on the practical aspects of quantum computing and on the implementation of algorithms in quantum simulators and actual quantum computers (as the ones available on the IBM Quantum Experience and D-Wave Leap). No previous knowledge of quantum physics is required and, from the mathematical point 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. </p>
<p>====</p>
<p><strong>Lecture 7: The future of quantum computing</strong> </p>
<p><strong><span><span>Quantum error correction. What is Quantum Supremacy? Prospects for quantum computing.</span></span> </strong></p>
<p>===</p>
<p><strong>Biography of the speaker</strong></p>
<p>Elías 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 University (Russia), he obtained a Ph.D. in Mathematics (Oviedo, 2001) with a dissertation on the properties of some computable predicates under 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 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 and machine learning problems. From July 2020 he has been a Cooperation Associate at CERN openlab.</p> <img src='/static-files/images/default/events/No_restriction/formula.jpg' /> <br/> Speaker: Elias Fernandez-Combarro AlvarezA practical introduction to quantum computing: from qubits to quantum machine learning and beyondhttps://webcast.web.cern.ch/old/event/9662020-11-02T15:53:23.785741Z2020-10-30T14:34:19.104576ZElias Fernandez-Combarro Alvarez<p><strong>General description of the course</strong></p>
<p>Quantum 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 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 computing in the fields of optimization and simulation (with special emphasis on the use of quantum annealing, the quantum approximate optimization algorithm and the variational quantum eigensolver) and quantum machine learning (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 problems.</p>
<p>The focus of the course will be on the practical aspects of quantum computing and on the implementation of algorithms in quantum simulators and actual quantum computers (as the ones available on the IBM Quantum Experience and D-Wave Leap). No previous knowledge of quantum physics is required and, from the mathematical point 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. </p>
<p>====</p>
<p><strong>Lecture 6: Quantum variational algorithms and quantum machine learning</strong></p>
<p><strong><span><span>Variational Quantum Eigensolver. Introduction to Quantum Machine Learning (QSVM, QGAN, Quantum Classifiers...)</span></span></strong></p>
<p>===</p>
<p><strong>Biography of the speaker</strong></p>
<p>Elías 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 University (Russia), he obtained a Ph.D. in Mathematics (Oviedo, 2001) with a dissertation on the properties of some computable predicates under 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 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 and machine learning problems. From July 2020 he has been a Cooperation Associate at CERN openlab.</p> <img src='/static-files/images/default/events/No_restriction/nobel.jpg' /> <br/> Speaker: Elias Fernandez-Combarro AlvarezVideo-meeting: Restricted and Open Council - Two-Hundred-and-First Sessionhttps://webcast.web.cern.ch/old/event/9762020-11-30T06:30:01.912379Z2020-11-19T14:23:41.188050Z <img src='/static-files/images/default/events/No_restriction/main-amphi4.jpg' /> <br/> Speaker: A practical introduction to quantum computing: from qubits to quantum machine learning and beyondhttps://webcast.web.cern.ch/old/event/9652020-11-30T08:24:08.484797Z2020-10-30T14:34:18.827882ZElias Fernandez-Combarro Alvarez<p><strong>General description of the course</strong></p>
<p>Quantum 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 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 computing in the fields of optimization and simulation (with special emphasis on the use of quantum annealing, the quantum approximate optimization algorithm and the variational quantum eigensolver) and quantum machine learning (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 problems.</p>
<p>The focus of the course will be on the practical aspects of quantum computing and on the implementation of algorithms in quantum simulators and actual quantum computers (as the ones available on the IBM Quantum Experience and D-Wave Leap). No previous knowledge of quantum physics is required and, from the mathematical point 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. </p>
<p>====</p>
<p><strong>Lecture 5: Quantum algorithms for combinatorial optimization</strong></p>
<p><strong><span><span>Quantum adiabatic computing and quantum annealing. Introduction to D-Wave Leap. Quantum Approximate Optimization Algorithm.</span></span> </strong></p>
<p>===</p>
<p><strong>Biography of the speaker</strong></p>
<p>Elías 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 University (Russia), he obtained a Ph.D. in Mathematics (Oviedo, 2001) with a dissertation on the properties of some computable predicates under 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 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 and machine learning problems. From July 2020 he has been a Cooperation Associate at CERN openlab.</p> <img src='/static-files/images/default/events/No_restriction/formula.jpg' /> <br/> Speaker: Elias Fernandez-Combarro AlvarezOur Galactic Center: A Unique Laboratory for the Physics & Astrophysics of Black Holeshttps://webcast.web.cern.ch/old/event/9782020-11-23T15:57:22.091097Z2020-11-23T15:46:32.057830ZAndrea Ghez<p><span><span><span><span>The proximity of our Galaxy's center presents a unique opportunity to study a galactic nucleus with orders of magnitude higher spatial resolution than can be brought to bear on any other galaxy. After more than a decade of diffraction-limited imaging on large ground-based telescopes, the case for a supermassive black hole at the Galactic center has gone from a possibility to a certainty, thanks to measurements of individual stellar orbits. The rapidity with which these stars move on small-scale orbits indicates a source of tremendous gravity and provides the best evidence that supermassive black holes, which confront and challenge our knowledge of fundamental physics, do exist in the Universe. This work was made possible through the use of speckle imaging techniques, which corrects for the blurring effects of the earth's atmosphere in post-processing and allowed the first diffraction-limited images to be produced with these large ground-based telescopes.</span></span></span></span></p>
<p><span><span><span><span><span><span><span><span>Further progress in high-angular resolution imaging techniques on large, ground- based telescopes has resulted the more sophisticated technology of adaptive optics, which corrects for these effects in real time. This has increased the power of imaging by an order of magnitude and permitted spectroscopic study at high resolution on these telescopes for the first time. With adaptive optics, high resolution studies of the Galactic center have shown that what happens near a supermassive back hole is quite different than what theoretical models have predicted, which changes many of our notions on how galaxies form and evolve over time. By continuing to push on the cutting-edge of high-resolution technology, we have been able to capture the orbital motions of stars with sufficient precision to test Einstein’s General theory of Relativity in a regime that has never been probed before.</span></span></span></span></span></span></span></span></p>
<p><span><span><span><span><span><span><span><span>Note: Unusual time due to time zones</span></span></span></span></span></span></span></span></p>
<p><em><span><span>Password: 891109</span></span></em></p> <img src='/static-files/images/default/events/No_restriction/comp-center2.jpg' /> <br/> Speaker: Andrea Ghez'Les sept secrets pour s'engager sans s'épuiser' / “Seven secrets to engage without becoming overwhelmed”.https://webcast.web.cern.ch/old/event/9742020-11-30T06:30:02.273351Z2020-11-19T07:09:29.821870Z<p>For the Q&A at the end of the conference, please follow this link to join the Zoom webinar:</p>
<p>https://cern.zoom.us/j/93572062661pwd=WHQzTFZ0UXNuSk83MDRBWnlKU1A4QT09 </p>
<p>Passcode: 466650</p> <img src='/static-files/images/default/events/No_restriction/main-amphi4.jpg' /> <br/> Speaker: Reunion informativa de materia economica y tributariahttps://webcast.web.cern.ch/old/event/9822020-11-30T06:30:00.729172Z2020-11-25T15:33:16.704265Z <img src='/static-files/images/default/events/No_restriction/comp-center2.jpg' /> <br/> Speaker: REMOTE - Securing a World of Physically Capable Computershttps://webcast.web.cern.ch/old/event/9732020-11-24T13:49:25.102270Z2020-11-18T08:41:15.219925ZBruce Schneier<h3><span style="color:#000000">NB! Unusual time for Academic Training, the lecturer being in the USA! </span></h3>
<p><span><span><strong>Abstract:</strong></span></span></p>
<p><span><span>Computer security is no longer about data; it’s about life and property. This change makes an enormous difference, and will shake up our industry in many ways. First, data authentication and integrity will become more important than confidentiality. And second, our largely regulation-free Internet will become a thing of the past. Soon we will no longer have a choice between government regulation and no government regulation. Our choice is between smart government regulation and stupid government regulation. Given this future, it’s vital that we look back at what we’ve learned from past attempts to secure these systems, and forward at what technologies, laws, regulations, economic incentives, and social norms we need to secure them in the future. </span></span></p>
<p><span><span><strong>Lecturer's bio:</strong><br />
Bruce Schneier is an internationally renowned security technologist, called a "security guru" by the Economist. He is the New York Times best-selling author of 14 books -- including Click Here to Kill Everybody -- as well as hundreds of articles, essays, and academic papers. His influential newsletter Crypto-Gram and blog Schneier on Security are read by over 250,000 people. Schneier is a fellow at the Berkman-Klein Center for Internet and Society at Harvard University; a Lecturer in Public Policy at the Harvard Kennedy School; a board member of the Electronic Frontier Foundation, AccessNow, and the Tor Project; and an advisory board member of EPIC and VerifiedVoting.org. He is the Chief of Security Architecture at Inrupt, Inc. </span></span></p>
<p><strong>NB! </strong>The lecture will be <a href="https://webcast.web.cern.ch/">Webcasted</a> and recorded. Recording will appear a few days later in <a href="https://cds.cern.ch/collection/Academic%20Training%20Lectures?ln=en">the CDS Academic Training collection. </a></p>
<p>During the lecture, a limited-by-Zoom number of <em>CERN</em> participants can use the attached Zoom webinar link <em>specifically</em> to ask <em>questions</em>. </p>
<p>The sponsor will convey the questions to the lecturer at the end of the talk.</p>
<p><br />
</p>
<p> </p> <img src='/static-files/images/default/events/No_restriction/main-amphi3.jpg' /> <br/> Speaker: Bruce SchneierDirect CP violation in the decay B+ to K+ pi0 at LHCbhttps://webcast.web.cern.ch/old/event/9802020-11-24T13:37:45.511052Z2020-11-24T13:34:16.000439ZWill Parker<p><span><span><span style="color:#000000"><span><span><span><span><span><span><span><span><span><span><span><span><span><span>Flavor physics is a powerful venue to indirectly search for physics</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><span><span><span style="color:#000000"><span><span><span><span><span><span><span><span><span><span><span><span><span><span> beyond the Standard Model. Several anomalies have been observed in</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><span><span><span style="color:#000000"><span><span><span><span><span><span><span><span><span><span><span><span><span><span> the decays of B mesons, which have continued to persist with new data</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><span><span><span style="color:#000000"><span><span><span><span><span><span><span><span><span><span><span><span><span><span> and have been explored as potential hints of new physics. I will</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><span><span><span style="color:#000000"><span><span><span><span><span><span><span><span><span><span><span><span><span><span> discuss a longstanding anomaly in the CP asymmetries of B decays to a</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><span><span><span style="color:#000000"><span><span><span><span><span><span><span><span><span><span><span><span><span><span> kaon and pion, known as the K pi puzzle. I will present a new</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><span><span><span style="color:#000000"><span><span><span><span><span><span><span><span><span><span><span><span><span><span> measurement, the most precise to date, of the direct CP asymmetry in</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><span><span><span style="color:#000000"><span><span><span><span><span><span><span><span><span><span><span><span><span><span> the decay B+ to K+ pi0 at LHCb. This measurement is consistent with</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><span><span><span style="color:#000000"><span><span><span><span><span><span><span><span><span><span><span><span><span><span> the previous measurements of this quantity and significantly</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span><span><span><span style="color:#000000"><span><span><span><span><span><span><span><span><span><span><span><span><span><span> strengthens the anomaly.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>
<p>Passcode: 509026</p> <img src='/static-files/images/default/events/No_restriction/main-amphi4.jpg' /> <br/> Speaker: Will ParkerA practical introduction to quantum computing: from qubits to quantum machine learning and beyondhttps://webcast.web.cern.ch/old/event/9642020-11-27T11:38:11.505621Z2020-10-30T14:34:18.460647ZElias Fernandez-Combarro Alvarez<p><strong>General description of the course</strong></p>
<p>Quantum 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 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 computing in the fields of optimization and simulation (with special emphasis on the use of quantum annealing, the quantum approximate optimization algorithm and the variational quantum eigensolver) and quantum machine learning (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 problems.</p>
<p>The focus of the course will be on the practical aspects of quantum computing and on the implementation of algorithms in quantum simulators and actual quantum computers (as the ones available on the IBM Quantum Experience and D-Wave Leap). No previous knowledge of quantum physics is required and, from the mathematical point 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. </p>
<p>====</p>
<p><strong>Lecture 4: Multiqubit systems </strong> </p>
<p><strong><span><span>Multiqubit gates and universality. Quantum parallelism. Deutsch-Jozsa algorithm. Grover algorithm. Shor algorithm. HHL algorithm.</span></span></strong></p>
<p>===</p>
<p><strong>Biography of the speaker</strong></p>
<p>Elías 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 University (Russia), he obtained a Ph.D. in Mathematics (Oviedo, 2001) with a dissertation on the properties of some computable predicates under 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 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 and machine learning problems. From July 2020 he has been a Cooperation Associate at CERN openlab.</p> <img src='/static-files/images/default/events/No_restriction/formula.jpg' /> <br/> Speaker: Elias Fernandez-Combarro Alvarez"Probing 10 orders of magnitude of dark matter mass using CCDs : New results from DAMIC@SNOLAB and prospects for DAMIC-M"https://webcast.web.cern.ch/old/event/9752020-11-24T11:05:50.770233Z2020-11-19T08:38:23.988357ZBen Kilminster<div class="x_PlainText"><span><span>The DAMIC (Dark Matter in CCDs) experiment uses CCD detectors to search for the direct interaction of galactic dark matter. Scientific CCD detectors provide an unprecedented low energy threshold and spatial resolution to probe for light dark matter. Given the current lack of evidence for a WIMP of mass around the weak scale, DAMIC focuses its search on lighter WIMPs, as well as the interaction of hidden-sector photons that could mediate the interaction of DM or even comprise DM. The current experiment, DAMIC@SNOLAB pioneered the search for hidden-photon interactions of DM and set world-leading constraints for low-mass WIMPs with a silicon-based target. The next experiment, DAMIC-M at LSM (Laboratoire Souterrain de Modane in France) will be sensitive to never-before probed potential DM models, covering a broad range of models spanning from eV to 10 TeV. In this talk, exciting new results from DAMIC@SNOLAB and prospects from DAMIC-M will be presented.</span></span></div>
<div class="x_PlainText"> </div>
<div class="x_PlainText">Passcode: 679311</div> <img src='/static-files/images/default/events/No_restriction/main-amphi5.jpg' /> <br/> Speaker: Ben Kilminstertests des encodershttps://webcast.web.cern.ch/old/event/9812020-11-25T10:49:52.363422Z2020-11-25T09:38:30.150830Z <img src='/static-files/images/default/events/No_restriction/main-amphi2.jpg' /> <br/> Speaker: Pension Fund - Annual Information Meetinghttps://webcast.web.cern.ch/old/event/9342020-11-20T14:56:57.587132Z2020-09-30T09:43:48.661412ZOssi Malmberg, Matthew Eyton-Jones <img src='/static-files/images/default/events/No_restriction/main-amphi1.jpg' /> <br/> Speaker: Ossi Malmberg, Matthew Eyton-JonesPension Fund - Annual Information Meeting (French version)https://webcast.web.cern.ch/old/event/9492020-11-20T14:57:23.735463Z2020-10-19T15:33:55.006167ZMatthew Eyton-Jones, Ossi Malmberg <img src='/static-files/images/default/events/No_restriction/nobel2.jpg' /> <br/> Speaker: Matthew Eyton-Jones, Ossi Malmberg