Courses

The aim of the course is to develop the theory of how to protect quantum computers from noise through active control, measurement, and feedback of quantum systems. Topics will include quantum coding theory, stabilizer codes, continuous variable codes, fault-tolerance, resource theories, magic states, threshold theorems, topological codes, decoding algorithms, noisy quantum circuits, and related aspects of quantum many-body physics.

Designed for computer science, engineering and mathematics majors. Introduces basic concepts and techniques widely used in quantum information science.

An introduction to the field of quantum information processing. Students will be prepared to pursue further study in quantum computing, quantum information theory, and related areas.

Investigates the physical systems used to implement quantum computers. Covers basics of atomic clocks, laser interferometers, quantum key distribution, quantum networks, and three types of qubits (ion-based, superconductor-based, and semiconductor-based).

This is an advanced graduate course on quantum algorithms for students with prior experience in quantum information. The course will cover algorithms that allow quantum computers to solve problems faster than classical computers.

An introduction to the concept of a quantum computer, including algorithms that outperform classical computation and methods for performing quantum computation reliably in the presence of noise. As this is a multidisciplinary subject, the course will cover basic concepts in theoretical computer science and physics in addition to introducing core quantum computing topics.

Quantum computers have the potential to efficiently solve problems that are intractable for classical computers. This course will explore the foundation of quantum computing. As this is a multidisciplinary subject, the course will cover basic concepts in theoretical computer science and physics in addition to introducing core quantum computing topics. No previous background in quantum mechanics is required.