Year: 2025
Type: preprint
Abstract: We introduce AutDEC, a fast and accurate decoder for quantum error-correcting codes with large automorphism groups. Our decoder employs a set of automorphisms of the quantum code and an ensemble of belief propagation (BP) decoders. Each BP decoder is given a syndrome which is transformed by one of the automorphisms, and is run in parallel. For quantum codes, the accuracy of BP decoders is limited because short cycles occur in the Tanner graph and our approach mitigates this effect. We demonstrate decoding accuracy comparable to BP-OSD-0 with a lower time overhead for Quantum Reed-Muller (QRM) codes in the code capacity setting, and Bivariate Bicycle (BB) codes under circuit level noise. We provide a Python repository for use by the community and the results of our simulations.
Source: arXiv (Cornell University)
Authors: Koutsioumpas, Stergios, Sayginel, Hasan, Webster, Mark, Browne, Dan E
Institutions: University College London, National Physical Laboratory
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: EPSRC Centre for Doctoral Training in Delivering Quantum Technologies, Reliable and Robust Quantum Computing, Unlocking the potential of Quantum LDPC Codes for low-overhead fault-tolerance, EPSRC Hub in Quantum Computing and Simulation, Prosperity Partnership in Quantum Software for Modeling and Simulation
OpenAlex ID: W4415085803