Giuseppe Carleo

EPFL SB IPHYS CQSL
PH H2 477 (Bâtiment PH)
Station 3
CH-1015 Lausanne

Web site:  Web site:  https://www.epfl.ch/labs/cqsl/

EPFL SB IPHYS CQSL
PH H2 477 (Bâtiment PH)
Station 3
CH-1015 Lausanne

Web site:  Web site:  https://sph.epfl.ch/

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Administrative data

Fields of expertise

Machine Learning for Quantum Physics; Numerical methods for strongly-correlated quantum systems; Quantum Computing; Characterization of Quantum Hardware; Dynamics of closed and open quantum systems; Frustrated magnets

Education

PhD

in Theory and Numerical Simulation of the Condensed Matter

SISSA, International School for Advanced Studies, Trieste, Italy

2007 - 2011

Publications

Selected publications

Teaching & PhD

Teaching

Physics

Courses

Quantum physics I

The objective of this course is to familiarize the student with the concepts, methods and consequences of quantum physics.

Computational quantum physics

  1. Single-particle Problems: Numerical solutions of the Schroedinger equation, Numerov's integration, the split operator method   2. Quantum Spin Models: Choice and representations of basis sets for the many-body problem, the Trotter decompososition for real and imaginary-time evolution   3. Electronic Structure

Lecture series on scientific machine learning

This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the very scientific method.

Introduction to quantum science and technology

This course provides all students with a broad view of the diverse aspects of the field: quantum physics, communication, computation, simulation, quantum hardware technologies, quantum sensing and metrology. The course will be an overview of frontiers of the domain and taught by multiple instructors