Speaker: Michael Vasmer
Abstract: The promise of quantum computers is currently limited by noise. Quantum error correction has the potential to overcome this problem, at the cost of large space and time overheads. The usual approach to diagnose errors in a quantum error-correcting code is to measure certain parity-check operators. These outcomes are then processed by a classical algorithm (a decoder) to find a recovery operator that corrects the errors. In most cases it is necessary to do many rounds of parity-check measurements as part of the error correction procedure, resulting in a large time overhead. In this talk I will give an introduction to quantum error correction and the decoding problem and then discuss a family of quantum error-correcting codes that only require a single round of parity-check measurements to do reliable error correction.
REGISTER HERE: https://events.teams.microsoft.com/event/8daf24c1-8d9e-461f-88cc-42f9c2db763e@8f0d452c-b7a4-4964-b810-8c397374477b