Thomas Georges Pierre VidickTeaching & PhD PhD Students Itammar Steinberg, Aviv Taller Courses Formal Mathematics with Lean and AI CS-643 This graduate course provides an introduction to using Lean proof assistant to formalize mathematical definitions and theorems. We will have lectures on foundations (formal proofs, dependent type theory), learn about practice (proof tactics, use of AI, etc) and work on a formalization project. Introduction to quantum computation CS-308 The course introduces the para
Jonathan ConradExpertise
Quantum Error Correction, Lattice Theory
Teaching & PhD Courses Methods in Quantum Error Correction CS-632 This course discusses mathematical methods of quantum error correction in the style via presentation and discussion of research papers. It covers basic algebraic and geometric properties of quantum error correcting codes and fault tolerance theory and prepares for research in this field.
Pasquale ScarlinoI obtained my master's degree in Physics at the University of Salento, Lecce (Italy) in February 2011. During 2006-2011, I have also been a student of Scuola Superiore ISUFI (SSI). SSI is one of six schools of excellence established in Italy to develop the intellectual capital in technological and social sciences. I conducted an external Master thesis project during an 8 months internship in the Quantum Transport Group at TU Delft, under the supervision of Prof. L.M.K. Vandersypen. There, I implemented the Quantum Point Contact Radio-Frequency Reflectometry technique, which allows increasing the single-shot electron spin readout bandwidth and is currently routinely used in the group.I obtained my Ph.D. degree in February 2016, in the Spin Qubits group of Prof. L.M.K. Vandersypen at the Kavli Institute of Nanoscience-Qutech (TU Delft). During my Ph.D. I have been leading the Si/SiGe spin qubits project, collaborating with the M. Eriksson Group at Wisconsin University. In parallel, I have been working on other different projects, in particular with GaAs depletion quantum dots, high impedance superconducting resonators, and surface acoustic wave resonators. I have been working as a Postdoc fellow in the group of Prof. A. Wallraff (Quantum Device Lab) at ETH Zurich. My main project, in collaboration with the group of Prof. K. Ensslin and Prof. T. Ihn, consisted in integrating semiconductor and superconductor technologies. Realizing a well-controlled interface between the semiconductor and superconductor-based quantum information technologies may allow harnessing the best of both device architectures, for example by providing an interface between strongly coupled charge state and high coherence spin states. Furthermore, it enables the possibility to explore light/matter hybridization in a class of solid-state systems and regimes that are new in the context of quantum optics.From June 2019 till September 2020, I have been a Senior Researcher at Microsoft Station Q Copenhagen and at the Center for Quantum Devices in Copenhagen, focusing on developing semiconductor-superconducting hybrid hardware for topologically protected quantum computation.Since October 2020, I am a tenure track Assistant Professor of Physics in the School of Basic Sciences at the EPFL where I founded the Hybrid Quantum Circuit (HQC) laboratory.
Yihui QuekTeaching & PhD PhD Students Helen Olivia Propson Courses Introduction to quantum information processing COM-309 Information is processed in physical devices. In the quantum regime the concept of classical bit is replaced by the quantum bit. We introduce quantum principles, and then quantum communications, key distribution, quantum entropy, and spin dynamics. No prior knowledge of quantum physics is required.
Jean-Charles TournierTeaching & PhD Courses Industrial automation CS-487 This course consists of two parts:1) architecture of automation systems, hands-on lab2) dependable systems and handling of faults and failures in real-time systems, including fault-tolerant computing
Alexandre SchmidAlexandre Schmid received the M.Sc. degree in microengineering and the Ph.D. degree in electrical engineering from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 1994 and 2000, respectively. Since 1994, he has been with the EPFL, working with the Integrated Systems Laboratory as a Research and Teaching Assistant, and with the Electronics Laboratories as a Postdoctoral Fellow. In 2002, he was a Senior Research Associate with the Microelectronic Systems Laboratory, where he has been conducting research in the fields of bioelectronic interfaces and implantable biomedical electronics, nonconventional signal processing and neuromorphic hardware, and reliability of nanoelectronic devices, and also teaches with the Microengineering and Electrical Engineering Departments of EPFL. Since 2011, he is a Maître d'Enseignement et de Recherche (MER) Faculty Member with EPFL. He is a coauthor of two books, Reliability of Nanoscale Circuits and Systems, Methodologies and Circuit Architectures, Springer, 2011, and Wireless Cortical Implantable Systems, Springer, 2013, and a coeditor of one book, as well as over 100 articles published in journals and conferences.
Dr. Schmid has served as the General Chair of the Fourth International Conference on Nano-Networks in 2009 and has been serving as an Associate Editor of the Institute of Electrical, Information, and Communication Engineers Electronics Express since 2009.
Jean-Michel SalleseExpertise
- Modeling of field effect transistors (Multigate FETs, Junctionless FET, HEMT, Field Effect-based Biosensors).- Modeling substrate parasitic currents in integrated circuits.- Simulation of radiation induced soft errors in integrated circuits- High energy particle solid-state sensors.
Mission
The mission of the Electron Device Modeling and Technology group is to develop analytical and numerical models (physics based) of emerging semiconductor devices, with particular emphasis on field effect trans
Giovanni De MicheliExpertise
Design technologies for integrated systems on silicon, such as synthesis, hw/sw codesign and low-power design, as well as systems on heterogeneous platforms including electrical and biological components.
Scientific Director of EcoCloud Center at EPFL
Directing activities towards creating sustainable computation including AI.Designing energy-savvy data centers and edge devices.
More information
Please read http://si2.epfl.ch/~demichel/
Giovanni De Micheli is a research scientist in electronics and Harald BruneOriginaire de Münich en Allemagne, né en 1961, Harald Brune obtient son diplôme en physique de l'Université Ludwig Maximilians en 1989. Après une thèse en chimie physique à l'Institut Fritz-Haber de la Société Max-Planck à Berlin il obtient son titre de docteur ès sciences en 1992. Dès cela, il rejoint le groupe du Prof. K. Kern à l'Institut de physique expérimentale à l'EPFL. En 1995 il est chercheur invité à Copenhague travaillant en modélisation chez le Prof. J. Nørskov. De retour à l'EPFL, il se voit décerné le prix Latsis EPFL 1996 pour ses études par microscopie à effet tunnel de processus atomiques déterminants la croissance cristalline de couches minces. En 1998 il obtient son habilitation (venia legendi) en Physique et est nommé Maître d'enseignement et de recherche (MER) en nanophysique à l'EPFL. La même année il recoit une offre de Professeur Ordinaire (C4) de l'Université Philipps de Marburg. Début 1999 il réfuse cette offre et accepte un poste de Professeur Extraordinaire à l'EPFL et s'installe au sein de l'Institut de la Physique des Nanostructures. Il est nommé Professeur Ordinaire en 2005. Sa recherche porte sur les propriétés physiques (en particulier le magnétisme et la structure électronique) de nouvelles formes de la matière condensée comme des nanostructures et des couches ultra-minces. Il s'intéresse également à la catalyse hétérogène sur des systèmes inspirés dans leur composition et taille par celle des sites actives dans les enzymes en biologie. Il enseigne la Physique Générale pour ingénieurs, la Physique des matériaux solides pour physiciens, les méthodes expérimentales pour physiciens, ainsi que la Physique des surfaces, interfaces et nanostrcutures à l'école doctorale.
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