Halving the Cost of Surface Codes with Logical-Level Error Correction

Explore an innovative approach to quantum error correction in this 35-minute talk by Mike Newman from Google. Delve into the concept of 'yoked surface codes' and learn how running error correction at the logical level can significantly reduce the cost of surface codes. Discover how this method can potentially halve or even reduce by a third the resource requirements for a 2D quantum memory. Gain insights into the implications of this research for large-scale quantum algorithms and the future of fault-tolerant quantum computing.

Halving the cost of surface codes by running error correction at the logical level