Giuseppe Carleo

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

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

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

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

vCard
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

Advanced computational physics

The course covers dense/sparse linear algebra, variational methods in quantum mechanics, and Monte Carlo techniques. Students implement algorithms for complex physical problems. Combines theory with coding exercises. Prepares for research in computational physics and related fields.

Quantum physics IV

1. Path Integral formalism
  • Introduction
  • Propagators and Green's functions.
  • Quantum mechanics in imaginary time and statistical mechanics.
2. Perturbation theory
  • Green's functions: definition and general properties
  • Functional methods
  • Perturbation theory by Feynman diagrams

Computational quantum physics

The numerical simulation of quantum systems plays a central role in modern physics. This course gives an introduction to key simulation approaches, through lectures and practical programming exercises. Simulation methods based both on classical and quantum computers will be presented.

Lecture series on scientific machine learning

Machine learning is a data analysis and computational tool that in the last two decades brought groundbreaking progress into many modern technologies. What is more, machine learning is becoming an indispensable tool enabling progress in many scientific disciplines where knowledge is deduced from data. This course will present some recent works in this direction. In the first part of the

Introduction to quantum science and technology

A broad view of the diverse aspects of the field is provided: quantum physics, communication, quantum computation, simulation of physical systems, physics of qubit platforms, hardware technologies. Students will grasp the field as a whole and better orient themselves on specialized topics.