Noise-Adapted Quantum Error Correction (QEC) for Non-Markovian Noise
International Centre for Theoretical Sciences via YouTube
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Learn Backend Development Part-Time, Online
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
This lecture explores noise-adapted quantum error correction (QEC) techniques specifically designed for non-Markovian noise environments, presented by Prabha Mandayam from the International Centre for Theoretical Sciences. Delve into advanced quantum error correction methodologies that address the challenges posed by non-Markovian noise, which is crucial for practical quantum computing implementations. The talk is part of the "Quantum Trajectories" program organized by Michel Bauer, Cedric Bernardin, Raphael Chetrite, and Abhishek Dhar, which brings together researchers exploring quantum trajectories, quantum control, measurement-induced phase transitions, and quantum information and computation. Learn about theoretical approaches that bridge physics, applied mathematics, and experimental implementations in the emerging field of quantum technologies.
Syllabus
Noise-adapted quantum error correction (QEC) for non-Markovian noiseby Prabha Mandayam
Taught by
International Centre for Theoretical Sciences