Fundamental Concepts in Quantum Error Correction
The long-term vision of quantum computing relies on building systems that implement Quantum Error Correction (QEC), which enable computations to be robust to physical qubit errors. In this class, Dr. Julian Kelly will break down QEC into basic concepts that will help you grasp the ongoing research and development in the field. Dr. Kelly will discuss why error correction is a necessity for scalable systems, what stabilizers are and how they detect and protect quantum states from error, the basics of error correcting codes such as the Surface Code, and how measurements are used to decode and remove quantum errors. Dr. Kelly will not cover the basics of qubits, quantum circuits, or linear algebra, which you will need to get the most out of this course.
Dr. Julian Kelly
Dr. Julian Kelly is a Research Scientist at Google AI Quantum. He is the lead for the System Control Team which is responsible for building the hardware and software to operate and manipulate Quantum Computers. He began his career in Quantum Computing in 2008 where he joined John Martinis' physics research group at UCSB as an undergraduate and researched qubit control and benchmarking techniques. Julian stayed at UCSB and completed his PhD in 2015 in experimental quantum computing. His thesis focused on the development of highly controllable, coherent, and scalable "Xmon" transmon systems that demonstrated record fidelity entangling gate and measurement operations, culminating in a demonstration of experimental quantum error correction. Since joining Google, Julian worked to improve, scale, and integrate quantum processors and was the lead designer for the 72 qubit Bristlecone processor. Julian also developed the automated calibration framework "optimus" which is a software backbone of operating quantum processors at Google. The above technologies were critical in the team's 2019 demonstration: "Quantum supremacy using a programmable superconducting processor.”
Publication Year: 2021