Tensor network based decoders for topological stabilizer codes with diverse qubit error rates
Ladda ner
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Övrigt, MSc
Publicerad
2023
Författare
XIAO, YINZI
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
To get a reliable and robust computing result for quantum computers, quantum error
correction (QEC) is necessary, and various 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. While only local measurements are required which makes
them possible to be implemented in existing quantum hardware, a decoder needs
to be applied to map measurements to error correcting operations. Improving the
decoder helps in reducing the logical failure rate of the code. 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, and is used to research
the scenarios for stabilizer codes with diverse error rates and the multi-level decoding
for concatenated codes such as the XYZ2
code.
Beskrivning
Ämne/nyckelord
quantum error correction, surface code, tensor network, non-IID error