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Comparing neural network based decoders for the surface code
Suppressing Quantum Errors by Scaling a Surface Code Logical Qubit ▸ Kevin Satzinger (Google)
Efficient soft-output decoders for the surface code | Meister, Pattison, Preskill | TQC 2024
Surface Codes Explained: How We Build Reliable Quantum Computers
Random Clifford circuits for quantum coding against Pauli noise using a tensor-network decoder
Surface Code Decoders and MWPM - Build a QEC Decoder Pt 2
Parameters of a surface code | QuTech Academy
Suppressing quantum errors by scaling a surface code logical qubit
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Last Updated: September 30, 2026
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The measurement outcomes collected during the operation of an error-corrected quantum computer give hints about which errors ... The first in a series on principles of quantum error correction and How do you get from a protected quantum memory to a fully fault-tolerant quantum computer? Watch the full interview here: In this ... "Repeated Quantum Error Correction in a Distance-Three Recorded as part of the Noisy Intermediate-Scale Quantum Systems: Advances and Applications ( conference at ... Quantum computers are incredibly powerful, but also incredibly fragile. How do we stop errors from destroying calculations? Recent work [M. J. Gullans et al., Physical Review X, 11(3):031066 (2021)] has shown that quantum error correcting Research scientist Kevin Satzinger explains the main results from our recent paper on quantum error correction. Practical ... QNumerics Summer School 2026 — Session 4-3 Quantum Error Correction: Syndromes, The text introduces AlphaQubit, a novel recurrent, transformer-based neural network developed to address the critical challenge ... In this Day 2 Keynote, Alexei Kitaev will define the
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