Machine learning methods are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented. ...
After recapping the basics of quantum theory from an information
theoretic perspective, we will cover more advanced topics in
quantum information theory. This includes introducing measures of quantum information, and developing a more advanced understandin ...
In this course we study heat transfer (and energy conversion) from a microscopic perspective. First we focus on understanding why classical laws (i.e. Fourier Law) are what they are and what are their limits of validity. Next we discuss emerging opportunit ...
This course constitutes an introduction to theory of computation. It discusses the basic theoretical models of computing (finite automata, Turing machine), as well as, provides a solid and mathematically precise understanding of their fundamental capabilit ...
Probabilistic proof systems (eg PCPs and IPs) have had a tremendous impact on theoretical computer science, as well as on real-world secure systems. They underlie delegation of computation protocols and hardness of approximation. This course covers the fou ...
The goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions such as Quantum Electrodynamics. ...
This course introduces quantum mechanics to students who are interested in pursuing quantum science and technology but have not gone through the standard bachelor physics curriculum. The students will develop quantum intuition by working out numerical exam ...
The goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions. ...
The course explains how to execute scalable algorithms on fault-tolerant quantum computers. It describes error correction used to build reliable logical operations from noisy physical operations, and how quantum programs are mapped into logical operations ...
In computational complexity we study the computational resources needed to solve problems and understand the relation between different types of computation.This course advances the students knowledge of computational complexity, and develop an understa ...