Abstract

Noise is an ever-present challenge to the creation and preservation of fragile quantum states. Recent work suggests that spatial noise correlations can be harnessed as a resource for noise mitigation via the use of spectator qubits to measure environmental noise. In this work we generalize this concept from spectator qubits to a spectator mode: a photonic mode which continuously measures spatially correlated classical dephasing noise and applies a continuous correction drive to frequency-tunable data qubits. Our analysis shows that by using many photon states, spectator modes can surpass many of the quantum measurement constraints that limit spectator qubit approaches. We also find that long-time data qubit dephasing can be arbitrarily suppressed, even for white noise dephasing. Further, using a squeezing (parametric) drive, the error in the spectator mode approach can exhibit Heisenberg-limited scaling in the number of photons used. We also show that spectator mode noise mitigation can be implemented completely autonomously using engineered dissipation. In this case no explicit measurement or processing of a classical measurement record is needed. Our work establishes spectator modes as a potentially powerful alternative to spectator qubits for noise mitigation.

Details

Title
Surpassing spectator qubits with photonic modes and continuous measurement for Heisenberg-limited noise mitigation
Author
Lingenfelter, Andrew 1   VIAFID ORCID Logo  ; Clerk, Aashish A. 2   VIAFID ORCID Logo 

 University of Chicago, Pritzker School of Molecular Engineering, Chicago, USA (GRID:grid.170205.1) (ISNI:0000 0004 1936 7822); University of Chicago, Department of Physics, Chicago, USA (GRID:grid.170205.1) (ISNI:0000 0004 1936 7822) 
 University of Chicago, Pritzker School of Molecular Engineering, Chicago, USA (GRID:grid.170205.1) (ISNI:0000 0004 1936 7822) 
Pages
81
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20566387
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2849184810
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.