A 3D convolutional neural network decoder for surface codes with circuit noise generalizes to distance-97 codes with thresholds up to 0.7% depolarizing noise and improved latency over MWPM above distance 33.
Fault-tolerant quantum computation
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
quant-ph 2verdicts
UNVERDICTED 2representative citing papers
Synchronizable hybrid subsystem codes are built from classical cyclic codes C and D with C^perp subset C subset D via CSS construction to correct Pauli and synchronization errors, tolerate gauge errors, and carry both classical and quantum information, with explicit trade-offs.
citing papers explorer
-
Fully convolutional 3D neural network decoders for surface codes with syndrome circuit noise
A 3D convolutional neural network decoder for surface codes with circuit noise generalizes to distance-97 codes with thresholds up to 0.7% depolarizing noise and improved latency over MWPM above distance 33.
-
Synchronizable hybrid subsystem codes
Synchronizable hybrid subsystem codes are built from classical cyclic codes C and D with C^perp subset C subset D via CSS construction to correct Pauli and synchronization errors, tolerate gauge errors, and carry both classical and quantum information, with explicit trade-offs.