Leonard Paul Arthur HardimanTeaching & PhD Courses Analysis I (for CMS-3) PREPA-003(b) This first-semester course aims to establish the basics of differential calculus. ICS (for CMS) PREPA-025 This course presents the basics of Python programming with an introduction to algorithmic thinking and to some fundamental algorithms. Information and scientific computation (for MAN) PREPA-094 After an introduction to Python programming and algorithmic science, numerical methods concerning nonline
Christine StollbergTeaching & PhD PhD Students Amélie Renggli, Vanni Jonas Meier Courses Atomic and radiative processes in plasmas PHYS-762 The course covers atomic structure, collisional-radiative (CR) processes, and spectroscopic techniques. Students learn to critically apply CR models, evaluate spectroscopic tools, and interpret experimental data obtained in different plasmas.
Mengdi KongTeaching & PhD PhD Students Chizhou Wang, Lili Édes
Stefana ParaschoTeaching & PhD PhD Students Jingwen Wang, Gabriel Vallat, Maxence Grangeot, Eleni Maria Skevaki, Wenqian Yang, Megi Sinani Courses Capitalizing on Uncertainty AR-809 SUMMER SCHOOL - Capitalizing on Uncertainty is a 6-day Summer school exploring uncertainty as a productive resource in design and fabrication through lectures, hands-on experiments, and the collaborative design and construction of a full-scale structure in a human-robot fabrication setting. Digital design and making: A criti
David Michael Volpe RuggieroTeaching & PhD PhD Students Ömer Faruk Behçet, Elias Merhi, Enrico Pinelli, Ahmad Abdulrahman Ahmad Majdouba, Muhammad Mahmood Mohi Ud Din Courses Reinforced concrete structures CIVIL-323 This course introduces the student to the behaviour and design of reinforced concrete structures. The student will learn the principles of analysis of reinforced concrete and how to design common concrete elements including columns, beams, and slabs. Reinforced concrete structures - advanced topics
Francesco RomanoExpertise
Gyrotrons, Non-Neutral Plasma, Electric Space Propulsion, Helicon Plasma Thrusters, Atmosphere-Breathing Electric Propulsion
Current Work
The TRapped Electrons eXperiment - T-REX
Born in Sassari and grew up in Udine, I studied Aerospace Engineering for Bachelor, Master in Italy and I've earned my Ph.D. in Germany. I also graduated in organ and organ composition at the conservatory in Italy. I Love space, science, music (piano, organ, classical, classic rock), endurance and uphill cycling, classic
Giuseppe CarleoGiuseppe Carleo is a computational quantum physicist, whose main focus is the development of advanced numerical algorithms tostudy challenging problems involving strongly interacting quantum systems.He is best known for the introduction of machine learning techniques to study both equilibrium and dynamical properties,based on a neural-network representations of quantum states, as well for the time-dependent variational Monte Carlo method.He earned a Ph.D. in Condensed Matter Theory from the International School for Advanced Studies (SISSA) in Italy in 2011.He held postdoctoral positions at the Institut d’Optique in France and ETH Zurich in Switzerland, where he alsoserved as a lecturer in computational quantum physics.In 2018, he joined the Flatiron Institute in New York City in 2018 at the Center for Computational Quantum Physics (CCQ), working as a Research Scientist and project leader, and also leading the development of the open-source project NetKet.Since September 2020 he is an assistant professor at EPFL, in Switzerland, leading the Computational Quantum Science Laboratory (CQSL).
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.
Reinart Andreas J. CoosemansTeaching & PhD Courses General physics : mechanics PHYS-101(a) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools.
Arnout Lodewijk M BeckersArnout was born in Leuven, Belgium. He received the M.Sc. degree in Nanoelectronics from
KU Leuven
in 2016. He wrote his M.Sc. thesis in the Physics Modeling and Simulation group at
imec
, Leuven, on the simulation of energy filtering in superlattice-based nanowires. In October 2016, he joined
ICLAB
as part of the European
H2020
MOS-Quito Project
(MOS-based Quantum Information Technology) to model the MOS transistor at cryogenic temperatures, dedicated to the design of cryogenic analog-RF circuits for improved qubit control. His research interests include quantum technology, low-temperature electronics, quantum physics, and cryogenic experiments.
ORCID
