Suppressing Quantum Errors by Scaling a Surface Code Logical Qubit - Kevin Satzinger - Google

Explore quantum error correction and the scaling of surface code logical qubits in this conference talk by Kevin Satzinger from Google. Delve into the latest advancements in noisy intermediate-scale quantum systems, focusing on suppressing quantum errors through surface code implementation. Learn about the integration of surface code with Google's Sycamore processor, analyze logical performance data, and understand how system improvements enhance larger code efficiency. Gain insights into the practical applications of quantum error correction and its potential impact on the future of quantum computing. Recorded as part of the Noisy Intermediate-Scale Quantum Systems: Advances and Applications conference at the Kavli Institute for Theoretical Physics, this 48-minute presentation offers a comprehensive look at the cutting-edge research in quantum error suppression and its implications for building more reliable quantum systems.

Intro
Surface code logical qubits Quantum error correction: a bridge to practical applications
Sycamore, meet surface code
One surface code cycle
Logical performance data
Logical performance improvement System improvements improve larger code faster
Towards practical quantum error correction