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Foundations for Estimating Pauli Noise in Quantum Error Correction

Squid: Schools for Quantum Information Development via YouTube

Overview

Watch a conference talk from TQC 2023 (Theory of Quantum Computation Conference) where Martin Kliesch presents groundbreaking research on characterizing quantum devices for error correction. Learn about innovative methods to estimate both physical and logical error channels induced by Pauli noise using syndrome data measurements. Discover how this research proves that Pauli channels correctable by quantum error correction codes can be estimated from their syndrome measurements, along with a practical estimation algorithm. Gain insights into optimizing quantum device characterization by focusing on application-relevant information while minimizing experimental and computational overhead. Delivered at the University of Aveiro as part of the 18th annual conference bringing together theoretical quantum information science researchers.

Syllabus

Foundations for estimating Pauli noise in quantum error correction - Martin Kliesch | TQC 2023

Taught by

Squid: Schools for Quantum Information Development

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