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Demonstration of non-Markovian process characterisation and control on a quantum processor.
White, G A L; Hill, C D; Pollock, F A; Hollenberg, L C L; Modi, K.
Afiliação
  • White GAL; School of Physics, University of Melbourne, Parkville, VIC, 3010, Australia.
  • Hill CD; School of Physics, University of Melbourne, Parkville, VIC, 3010, Australia.
  • Pollock FA; School of Mathematics and Statistics, University of Melbourne, Parkville, VIC, 3010, Australia.
  • Hollenberg LCL; School of Physics and Astronomy, Monash University, Clayton, VIC, 3800, Australia.
  • Modi K; School of Physics, University of Melbourne, Parkville, VIC, 3010, Australia. lloydch@unimelb.edu.au.
Nat Commun ; 11(1): 6301, 2020 Dec 09.
Article em En | MEDLINE | ID: mdl-33298929
ABSTRACT
In the scale-up of quantum computers, the framework underpinning fault-tolerance generally relies on the strong assumption that environmental noise affecting qubit logic is uncorrelated (Markovian). However, as physical devices progress well into the complex multi-qubit regime, attention is turning to understanding the appearance and mitigation of correlated - or non-Markovian - noise, which poses a serious challenge to the progression of quantum technology. This error type has previously remained elusive to characterisation techniques. Here, we develop a framework for characterising non-Markovian dynamics in quantum systems and experimentally test it on multi-qubit superconducting quantum devices. Where noisy processes cannot be accounted for using standard Markovian techniques, our reconstruction predicts the behaviour of the devices with an infidelity of 10-3. Our results show this characterisation technique leads to superior quantum control and extension of coherence time by effective decoupling from the non-Markovian environment. This framework, validated by our results, is applicable to any controlled quantum device and offers a significant step towards optimal device operation and noise reduction.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Austrália