Abstract

Quantum sensing based on exotic quantum states is appealing for practical metrology applications and fundamental studies. However, these quantum states are vulnerable to noise and the resulting quantum enhancement is weakened in practice. Here, we experimentally demonstrate a quantum-enhanced sensing scheme with a bosonic probe, by exploring the large Hilbert space of the bosonic mode and developing both the approximate quantum error correction and the quantum jump tracking approaches. In a practical radiometry scenario, we attain a 5.3 dB enhancement of sensitivity, which reaches 9.1 × 10−4 Hz−1/2 when measuring the excitation population of a receiver mode. Our results demonstrate the potential of quantum sensing with near-term quantum technologies, not only shedding new light on the quantum advantage of sensing, but also stimulating further efforts on bosonic quantum technologies.

Exotic quantum states can be advantageous for sensing, but are very fragile, so that some form of quantum error correction is needed. Here, the authors show how approximate QEC helps overcoming decoherence due to noise when measuring the excitation population of a receiver mode in a superconducting circuit.

Details

Title
Quantum-enhanced radiometry via approximate quantum error correction
Author
Wang, W. 1   VIAFID ORCID Logo  ; Chen, Z.-J. 2   VIAFID ORCID Logo  ; Liu, X. 1   VIAFID ORCID Logo  ; Cai, W. 1 ; Ma, Y. 1 ; Mu, X. 1 ; Pan, X. 1 ; Hua, Z. 1 ; Hu, L. 1 ; Xu, Y. 1   VIAFID ORCID Logo  ; Wang, H. 1 ; Song, Y. P. 1 ; Zou, X.-B. 2 ; Zou, C.-L. 2   VIAFID ORCID Logo  ; Sun, L. 1   VIAFID ORCID Logo 

 Institute for Interdisciplinary Information Sciences, Tsinghua University, Center for Quantum Information, Beijing, P. R. China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178) 
 University of Science and Technology of China, Key Laboratory of Quantum Information, CAS, Hefei, P. R. China (GRID:grid.59053.3a) (ISNI:0000000121679639) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2674579200
Copyright
© The Author(s) 2022. 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.