Quantum information theory is a set of ideas and techniques that were developed in the context of quantum computation but now guide our thinking about a range of topics from black holes to semiconductors. This course introduces the central ideas of quantum information theory and surveys their applications. Topics include: quantum channels and open quantum systems; quantum circuits and tensor networks; a brief introduction to quantum algorithms; quantum error correction; and applications to sensing, many-body physics, black holes, etc.

The class covers selected topics in atomic theory and experimental techniques. The topics include atomic and molecular structure, dynamics of two- and three-level systems, open quantum systems, light-matter interaction, laser cooling, atomic collisions, ultracold gases and Rydberg atoms. Evaluation consists of homework and a term paper.

This course focuses on contemporary research in quantum science, including quantum computing and quantum information processing, quantum measurement, quantum communication and networks, quantum sensing and metrology, and quantum devices. The emphasis is to understand the current literature in the context of the broader QSE field, and to learn how to critically evaluate claims and evidence. Knowledge of quantum mechanics, electricity and magnetism, optics, and statistical mechanics at the undergraduate level, and concurrent enrollment in QSE core courses is assumed.