Understanding Ju2021 Tensor Network Decoding Of 2d Quantum Codes
Welcome to our comprehensive guide on Ju2021 Tensor Network Decoding Of 2d Quantum Codes. Talk on the paper 'General
Key Takeaways about Ju2021 Tensor Network Decoding Of 2d Quantum Codes
- Recent work [M. J. Gullans et al., Physical Review X, 11(3):031066 (2021)] has shown that
- Workshop on
- This talk was part of the Thematic Programme on "
- Tensor network
- QTN-VQC: An End-to-End Learning framework for
Detailed Analysis of Ju2021 Tensor Network Decoding Of 2d Quantum Codes
Christopher Chubb is a postdoctoral researcher at ETH Zürich. His interests lie in the interface between This was the short talk presented at TQC'21 - the 16th Conference on the Theory of This talk was prepared for TQC'21 - the 16th Conference on the Theory of
Abstract: This talk demonstrates using inference algorithms from probability theory to
In summary, understanding Ju2021 Tensor Network Decoding Of 2d Quantum Codes gives us a better perspective.
