Real and imaginary energy gaps: a comparison between single excitation Superradiance and Superconductivity and robustness to disorder
Nahum C. Chavez, Francesco Mattiotti, J. A. Mendez-Bermudez, Fausto, Borgonovi, G. Luca Celardo

TL;DR
This paper compares the energy gaps in Superradiance and Superconductivity models, showing their similarities, differences, and robustness to disorder, with implications for understanding phase transitions in quantum systems.
Contribution
It demonstrates the connection between imaginary and real energy gaps in Superradiance and Superconductivity models, highlighting their scaling and disorder protection properties.
Findings
Superradiant and superconducting gaps have the same magnitude in the large gap limit.
Critical coupling for superradiant gap is size-independent, unlike superconducting gap.
Gaps protect states against disorder, linked to long-range coupling.
Abstract
A comparison between the single particle spectrum of the discrete Bardeen-Cooper-Schrieffer (BCS) model, used for small superconducting grains, and the spectrum of a paradigmatic model of Single Excitation Superradiance (SES) is presented. They are both characterized by an equally spaced energy spectrum (Picket Fence) where all the levels are coupled between each other by a constant coupling which is real for the BCS model and purely imaginary for the SES model. While the former corresponds to the discrete BCS-model describing the coupling of Cooper pairs in momentum space and it induces a Superconductive regime, the latter describes the coupling of single particle energy levels to a common decay channel and it induces a Superradiant transition. We show that the transition to a Superradiant regime can be connected to the emergence of an imaginary energy gap, similarly to the transition…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
