Robust spin-squeezing on quantum networks: the lesson from universality
Andrea Solfanelli, Augusto Smerzi, Peter Zoller, Nicolò Defenu
TLDR
This paper establishes conditions for scalable spin squeezing in quantum networks, identifying universal properties and critical points for robust metrological gain.
Key contributions
- Establishes conditions for scalable spin squeezing in quantum networks, identifying two distinct forms.
- Shows OAT-like squeezing depends on universal graph properties and the interaction graph's spectral dimension.
- Reveals critical squeezing requires spectral dimension and being below the symmetry-breaking transition.
- Offers a unifying framework for designing robust, scalable quantum sensors on diverse quantum simulation platforms.
Why it matters
This paper offers a crucial theoretical framework for scalable spin squeezing in quantum networks, unifying different universality classes. It provides practical conditions for designing robust quantum sensors, advancing quantum metrology across diverse experimental platforms.
Original Abstract
We establish the conditions under which scalable spin squeezing can be achieved in interacting spin ensembles embedded in arbitrary, inhomogeneous network geometries. We identify two different forms of squeezing: OAT-like scalable squeezing is governed solely by the universal properties of the interaction graph and is controlled by its spectral dimension. In critical squeezing, on the other hand, the value of the spectral dimension only furnishes the necessary condition for scalable metrological gain, while the sufficient condition requires the model to lie below the symmetry breaking transition. Therefore, in quantum networks, the scaling of the spin-squeezing critical point emerges from a nontrivial interplay between xy-ferromagnetic universality and percolation universality. We apply this general theoretical framework to several experimental scenarios and discuss sharp and experimentally relevant conditions for achieving robust metrological gain on generic inhomogeneous structures, giving a unifying perspective for designing scalable quantum sensors across diverse quantum simulation platforms.
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