Overview
Explore quantum Low-Density Parity-Check (LDPC) codes in this lecture from Microsoft Research's Nicolas Delfosse at the Park City Mathematics Institute's Graduate Summer School program. Dive into advanced concepts of quantum error correction, focusing on LDPC codes as a promising alternative to surface codes for reducing overhead in fault-tolerant quantum computation. Learn about various LDPC code constructions, decoding algorithms, and syndrome extraction circuits that could potentially decrease the thousands of physical qubits currently needed per logical qubit. Access complementary lecture notes and problem sets to reinforce understanding through hands-on practice. Part of a comprehensive three-week summer program featuring expert-led minicourses on quantum computation, including quantum learning, information theory, and linear-algebraic algorithms, designed for graduate students and researchers at all levels.
Syllabus
Part 2 Quantum LDPC codes | Nicolas Delfosse (Microsoft Research)
Taught by
IAS | PCMI Park City Mathematics Institute