YoVDO

Physical Limits of Non-Hermitian and Non-Reciprocal Devices

Offered By: PCS Institute for Basic Science via YouTube

Tags

Quantum Physics Courses Causality Courses Spectral Theory Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the physical limits of non-Hermitian and non-reciprocal devices in this comprehensive lecture by Henning Schomerus from the PCS Institute for Basic Science. Delve into the critical role of active elements in experimental realizations of non-Hermitian phenomena, such as the non-Hermitian skin effect and squared-Lorentzian line shape at exceptional points. Examine the fundamental constraints on passive realizations, linking causality to experimental protocols for determining the density of states. Discover how the non-Hermitian skin effect is hidden in the density of states, while the squared Lorentzian appears as a limited contrast background effect. Gain insights into the generalized time-delay operator, connecting causality constraints with experimental protocols. Investigate the practical formulation of constraints in microscopic models and explore the conceptual link between fundamental concepts and key experimental observables. Study analogous constraints on spectral features and responses in both active and passive non-Hermitian systems through various research examples provided throughout the lecture.

Syllabus

Introduction
Welcome
Chrysalis
Liquid
Machine Plate
Anomaly Response
photonic realizations
SSH model
Microwave realization
Propagation
Complications


Taught by

PCS Institute for Basic Science

Related Courses

Epidemiology: The Basic Science of Public Health
The University of North Carolina at Chapel Hill via Coursera
Algorithmic Information Dynamics: From Networks to Cells
Santa Fe Institute via Complexity Explorer
Environmental Challenges: Human Impact in the Natural Environment
University of Leeds via FutureLearn
Data Analytics for Lean Six Sigma
University of Amsterdam via Coursera
Data Science: Inferential Thinking through Simulations
University of California, Berkeley via edX