TY - JOUR
T1 - Extracting quantum dynamical resources
T2 - consumption of non-Markovianity for noise reduction
AU - Berk, Graeme D.
AU - Milz, Simon
AU - Pollock, Felix A.
AU - Modi, Kavan
N1 - Funding Information:
G. B. is supported by an Australian Government Research Training Program (RTP) Scholarship. This work is supported by the National Research Foundation, Singapore, and Agency for Science, Technology and Research (A*STAR) under its QEP2.0 programme (NRF2021-QEP2-02-P06), the Singapore Ministry of Education Tier1 Grant RG146/20, grant nos. FQXi-RFP-IPW-1903 (‘Are quantum agents more energetically efficient at making predictions?’) from the Foundational Questions Institute and Fetzer Franklin Fund (a donor-advised fund of Silicon Valley Community Foundation). S. M. acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska Curie grant agreement No 801110, and the Austrian Federal Ministry of Education, Science and Research (BMBWF). The opinions expressed in this publication are those of the authors, the EU Agency is not responsible for any use that may be made of the information it contains. K.M. is supported through Australian Research Council Future Fellowship FT160100073 and Discovery Project DP210100597. K.M. was a recipient of the International Quantum U Tech Accelerator award by the US Air Force Research Laboratory.
Funding Information:
G. B. is supported by an Australian Government Research Training Program (RTP) Scholarship. This work is supported by the National Research Foundation, Singapore, and Agency for Science, Technology and Research (A*STAR) under its QEP2.0 programme (NRF2021-QEP2-02-P06), the Singapore Ministry of Education Tier1 Grant RG146/20, grant nos. FQXi-RFP-IPW-1903 (‘Are quantum agents more energetically efficient at making predictions?’) from the Foundational Questions Institute and Fetzer Franklin Fund (a donor-advised fund of Silicon Valley Community Foundation). S. M. acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska Curie grant agreement No 801110, and the Austrian Federal Ministry of Education, Science and Research (BMBWF). The opinions expressed in this publication are those of the authors, the EU Agency is not responsible for any use that may be made of the information it contains. K.M. is supported through Australian Research Council Future Fellowship FT160100073 and Discovery Project DP210100597. K.M. was a recipient of the International Quantum U Tech Accelerator award by the US Air Force Research Laboratory.
Publisher Copyright:
© 2023, Springer Nature Limited.
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85174469476&partnerID=8YFLogxK
U2 - 10.1038/s41534-023-00774-w
DO - 10.1038/s41534-023-00774-w
M3 - Article
AN - SCOPUS:85174469476
SN - 2056-6387
VL - 9
JO - npj Quantum Information
JF - npj Quantum Information
IS - 1
M1 - 104
ER -