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1
Intro
2
The Threshold Theorem
3
Fault-Tolerant Protocols
4
Low Density Parity Check Codes
5
Fault-Tolerant Error Correction
6
Pros and Cons of Surface Codes
7
What other LDPC codes exist?
8
Hypergraph Product Codes
9
Typical Errors
10
Efficient Decoding Algorithm
11
Fault-Tolerant Gates
12
Making Ancillas
13
Don't Put All Qubits in One Basket
14
Constant Overhead Fault Tolerance
15
The (Almost) Precise Theorem
16
Pros and cons of High-Rate LDPC
17
Open Questions
Description:
Explore fault tolerance in quantum computing through a comprehensive lecture on LDPC codes. Delve into the threshold theorem, surface codes, and the potential of high-rate low-density parity check codes to reduce overhead in quantum computers. Examine progress in code development, decoding algorithms, and fault-tolerant operations. Investigate hypergraph product codes, efficient decoding methods, and constant overhead fault tolerance. Compare the pros and cons of surface codes and high-rate LDPC codes, and consider open questions in the field. Gain insights from Daniel Gottesman of the Perimeter Institute in this Quantum Colloquium presented by the Simons Institute.

Fault Tolerance with LDPC Codes - Quantum Colloquium

Simons Institute
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