Title: Tensor network based decoders for topological stabilizer codes with diverse qubit error rates
Overview
- Date:Starts 14 June 2023, 14:15Ends 14 June 2023, 15:15
- Location:FL41 campus Johanneberg
- Language:English
Abstract: To get a reliable and robust computing result for quantum computers, quantum error correction (QEC) is necessary for quantum computing, and various of protection codes have been developed. Among them topological stabilizer codes are gaining promise for QEC, because their global properties provided by the topological code structure help protect the logical qubits from noises. However, a decoder needs to be applied to these codes to reduce the risk of possible logical errors. In this master thesis project, a tensor network based decoder which supports decoding certain types of stabilizer codes with diverse qubit error rates is developed based on existing package, and is used to research the scenarios for stabilizer codes with diverse error rates and the multi-level decoding for concatenate codes such as $\rm{XYZ^2}$ code.
Password: 437881
Examiner: Mats Ganath
Supervisors: Mats Granath, Bart Sorée (KU Leuven)
Opponent: Mikkel Opperud