PT-symmetric quantum sensing: advantages and restrictions
- URL: http://arxiv.org/abs/2312.07892v1
- Date: Wed, 13 Dec 2023 04:29:41 GMT
- Title: PT-symmetric quantum sensing: advantages and restrictions
- Authors: Yan-Yi Wang, Chun-Wang Wu, Wei Wu, Ping-Xing Chen
- Abstract summary: The debate on whether non-Hermitian systems are superior to Hermitian counterparts in sensing remains an open question.
It turns out that the existence of advantages of non-Hermitian quantum sensing heavily depends on additional information resources carried by the extra degrees of freedom introduced to construct PT-symmetric quantum sensors.
Our study provides theoretical references for the construction of non-Hermitian quantum sensors with superior performance and has potential applications in research fields of quantum precision measurement and quantum information processing.
- Score: 3.543616009111265
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum sensing utilizing unique quantum properties of non-Hermitian systems
to realize ultra-precision measurements has been attracting increasing
attention. However, the debate on whether non-Hermitian systems are superior to
Hermitian counterparts in sensing remains an open question. Here, we
investigate the quantum information in PT-symmetric quantum sensing utilizing
two experimental schemes based on the trapped-ion platform. It turns out that
the existence of advantages of non-Hermitian quantum sensing heavily depends on
additional information resources carried by the extra degrees of freedom
introduced to construct PT-symmetric quantum sensors. Moreover, the practical
application of non-Hermitian quantum sensing with superior performance is
primarily restricted by the additional resource consumption accompanied by the
post-selection. Our study provides theoretical references for the construction
of non-Hermitian quantum sensors with superior performance and has potential
applications in research fields of quantum precision measurement and quantum
information processing.
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