Courses

Non-local quantum computation (NLQC) is a subject within quantum information theory. NLQC considers, in a certain setting, with how local interactions can be simulated with distributed entanglement plus communication. NLQC has recently become well connected to several other areas, including

This course will cover the basics from my book, https://arxiv.org/abs/2603.12076. It is about operational probabilistic theories. The standard approach in such theories is, implicitly, from a time forward perspective. On the other hand, we will mostly take a time symmetric perspective. The course

Advanced quantum field theory in lower dimension. The course will cover topics of advanced quantum field theory in lower dimension (d=2 or d=3) The topics may include string theory and/or integrability.

We will discuss mathematical aspects of classical and quantum field theory, topics TBD.

This course introduces key concepts in modern quantum matter, including spontaneous symmetry breaking, topological phases, and quantum criticality, illustrated through simple and instructive examples.

How do relativistic effects influence quantum information processing? This fundamental question has developed over the past decade into the new active field of Relativistic Quantum Information. It brings together concepts and ideas from special relativity, quantum optics, general relativity, quantum

We will study how General Relativity (GR) is similar to and especially how it differs from other gauge theories. This will explain why, from a structural perspective, it is much harder to quantize GR than other theories without relying on any specific approach to quantization. To achieve this goal

This course in Cosmology provides a theoretical overview of the standard cosmological model. Key topics include the FRW metric and the homogeneous universe, the thermal history of the universe, inflation and scalar field dynamics, along with selected aspects of cosmological perturbation theory time

We look to understand the possibilities and limits of quantum information processing, and how an information theory perspective can inform theoretical physics. Topics covered include: entanglement, tools for measuring nearness of quantum states, characterizing the most general possible quantum

This course introduces Scientific Machine Learning, beginning with an overview of traditional and modern machine learning methods illustrated with examples from physics. It then transitions to physics-informed approaches, where physical laws, symmetries, and mechanistic models are embedded into

The course will cover the basics of conformal field theories and some applications in 2 dimensions (Virasoro symmetry, conformal blocks, minimal models, Coulomb gas, c-theorem...)

This course will introduce some advanced topics in general relativity related to describing gravity in the strong field and dynamical regime. Topics covered include properties of spinning black holes, black hole thermodynamics and energy extraction, how to define horizons in a dynamical setting