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Fault-Tolerant Coding for Quantum Communication - Threshold Theorems and Error Rates

Illinois Quantum via YouTube

Overview

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Learn about fault-tolerant quantum communication in this technical lecture that explores the challenges and solutions for reliable message transmission over noisy quantum channels. Delve into the intersection of fault-tolerant quantum computation and quantum communication, examining how to design encoding and decoding circuits that can withstand gate errors. Explore threshold theorems for classical and quantum capacity, understanding how to achieve optimal transmission rates with minimal error even when dealing with imperfect quantum gates. Follow along as fundamental concepts like communication channels, coding schemes, Shannon's capacity theorem, and various types of noise are explained. Discover practical applications through examples including the 7-qubit Steane code and effective channel analysis. Gain insights from Alexander Müller-Hermes, an associate professor at the University of Oslo, whose expertise spans quantum information theory, quantum Shannon theory, and entanglement theory.

Syllabus

Intro
What is a communication channel?
What is a coding scheme for classical communication T
Examples of coding schemes
Qualitative plot of rate-error pairs
Shannon's capacity theorem
The capacity theorem
Types of noise
Compound channel capacity
Quantum arbitrarily varying channel
Arbitrarily varying perturbation (AVP)
AVP coding scheme
What rates are possible in the AVP setting?
Challenges of implementing coding schemes
Coding schemes on quantum computers
Applying the threshold theorem to coding scheme
Separating data from noise in 7-qubit Steane code
Finding the effective channel
The threshold theorem for capacity

Taught by

Illinois Quantum

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