scholarly journals Enhancing the Robustness of Dynamical Decoupling Sequences with Correlated Random Phases

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 730 ◽  
Author(s):  
Zhenyu Wang ◽  
Jorge Casanova ◽  
Martin B. Plenio

We show that the addition of correlated phases to the recently developed method of randomized dynamical decoupling pulse sequences can improve its performance in quantum sensing. In particular, by correlating the relative phases of basic pulse units in dynamical decoupling sequences, we are able to improve the suppression of the signal distortion due to π pulse imperfections and spurious responses due to finite-width π pulses. This enhances the selectivity of quantum sensors such as those based on NV centers in diamond.

2018 ◽  
Vol 10 (5) ◽  
Author(s):  
Toyofumi Ishikawa ◽  
Akio Yoshizawa ◽  
Yasunori Mawatari ◽  
Hideyuki Watanabe ◽  
Satoshi Kashiwaya

2017 ◽  
Vol 118 (13) ◽  
Author(s):  
Genko T. Genov ◽  
Daniel Schraft ◽  
Nikolay V. Vitanov ◽  
Thomas Halfmann

2015 ◽  
Vol 5 (4) ◽  
Author(s):  
J. E. Lang ◽  
R. B. Liu ◽  
T. S. Monteiro

2021 ◽  
Vol 118 (1) ◽  
pp. 014001
Author(s):  
Kevin R. Chaves ◽  
Xian Wu ◽  
Yaniv J. Rosen ◽  
Jonathan L DuBois

Proceedings ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 29
Author(s):  
Antonio D’Arrigo ◽  
Giuseppe Falci ◽  
Elisabetta Paladino

Dynamical decoupling sequences are a convenient tool to reduce decoherence due to intrinsic fluctuations with 1 / f power spectrum hindering quantum circuits. We study the possibility to achieve an efficient universal two-qubit gate in the presence of 1 / f noise by periodic and Carr-Purcell dynamical decoupling. The high degree of selectivity achieved by these protocols also provides a valuable tool to infer noise characteristics, as the high-frequency cut off and the noise variance. Different scalings of the gate error with noise variance signal the contribution of different noise statistical properties to the gate error.


AIP Advances ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 075013
Author(s):  
Toyofumi Ishikawa ◽  
Akio Yoshizawa ◽  
Yasunori Mawatari ◽  
Satoshi Kashiwaya ◽  
Hideyuki Watanabe

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