Extracting quantum dynamical resources

Autor(en)

Graeme D. Berk, Simon Milz, Felix A. Pollock, Kavan Modi

Abstrakt

A great many efforts are dedicated to developing noise reduction and mitigation methods. One remarkable achievement in this direction is dynamical decoupling (DD), although its applicability remains limited because fast control is required. Using resource theoretic tools, we show that non-Markovianity is a resource for noise reduction, raising the possibility that it can be leveraged for noise reduction where traditional DD methods fail. We propose a non-Markovian optimisation technique for finding DD pulses. Using a prototypical noise model, we numerically demonstrate that our optimisation-based methods are capable of drastically improving the exploitation of temporal correlations, extending the timescales at which noise suppression is viable by at least two orders of magnitude, compared to traditional DD which does not use any knowledge of the non-Markovian environment. Importantly, the corresponding tools are built on operational grounds and can be easily implemented to reduce noise in the current generation of quantum devices.

Organisation(en)

Forschungsverbund Quantum Aspects of Space Time, Quantenoptik, Quantennanophysik und Quanteninformation

Externe Organisation(en)

Monash University, Trinity Quantum Alliance, Österreichische Akademie der Wissenschaften (ÖAW), Nanyang Technological University (NTU), Trinity College Dublin

Journal

npj Quantum Information

Band

9

Anzahl der Seiten

13

ISSN

2056-6387

DOI

https://doi.org/10.1038/s41534-023-00774-w

Publikationsdatum

10-2023

Peer-reviewed

Ja

ÖFOS 2012

102040 Quantencomputing

ASJC Scopus Sachgebiete

Computer Science (miscellaneous), Statistical and Nonlinear Physics, Computer Networks and Communications, Computational Theory and Mathematics

Link zum Portal

https://ucrisportal.univie.ac.at/de/publications/5573a854-60a2-4e67-aa59-35750cc7c21e