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This research proposes a novel sensing framework leveraging non-Hermitian physics and the skin effect to achieve exponential sensitivity scaling while maintaining noise resilience. By utilizing spectral winding numbers, the method ensures robustness against disorder in synthetic quantum platforms, offering a significant advancement for high-precision measurement technologies.
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Non-Hermitian sensing via end-to-end Green's functions

arXiv1 min read

arXiv:2608.20847v1 Announce Type: new Abstract: Sensing hinges on two key attributes: high sensitivity and resilience to noise. Here, we present a scheme that unites these features within a single framework. By harnessing the exponential amplification of end-to-end Green's functions-a direct signature of the non-Hermitian skin effect-our scheme achieves an exponential sensitivity scaling of exp({\alpha}L) with {\alpha} a model-specific constant and L the system size. Notably, this enhanced sensitivity is protected by spectral winding numbers and endures under disorder when the non-Hermitian topological phase remains intact. We also explore its feasibility in synthetic non-Hermitian platforms, providing a pathway toward highly sensitive and noise-tolerant sensing.

Abstract:Sensing hinges on two key attributes: high sensitivity and resilience to noise. Here, we present a scheme that unites these features within a single framework. By harnessing the exponential amplification of end-to-end Green's functions-a direct signature of the non-Hermitian skin effect-our scheme achieves an exponential sensitivity scaling of exp({\alpha}L) with {\alpha} a model-specific constant and L the system size. Notably, this enhanced sensitivity is protected by spectral winding numbers and endures under disorder when the non-Hermitian topological phase remains intact. We also explore its feasibility in synthetic non-Hermitian platforms, providing a pathway toward highly sensitive and noise-tolerant sensing.

arXiv:2608.20847 [quant-ph]

(or arXiv:2608.20847v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.20847 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 189 words

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