https://doi.org/10.1140/epjd/e2018-90190-y
Regular Article
Applications of Picard and Magnus expansions to the Rabi model
1
Center for Nonlinear and Complex Systems, Dipartimento di Scienza e Alta Tecnologia, Università degli Studi dell’Insubria,
via Valleggio 11,
22100
Como, Italy
2
Istituto Nazionale di Fisica Nucleare, Sezione di Milano,
via Celoria 16,
20133
Milano, Italy
3
NEST, Istituto Nanoscienze-CNR,
56126
Pisa, Italy
4
Department of Physics, University of Milan,
via Celoria 16,
20133
Milano, Italy
a e-mail: giuliano.benenti@uninsubria.it
Received:
24
April
2018
Received in final form:
30
August
2018
Published online: 23 October 2018
We apply the Picard and Magnus expansions to both the semiclassical and the quantum Rabi model, with a switchable matter-field coupling. The case of the quantum Rabi model is a paradigmatic example of finite-time quantum electrodynamics (QED), and in this case we build an intuitive diagrammatic representation of the Picard series. In particular, we show that regular oscillations in the mean number of photons, ascribed to the dynamical Casimir effect (DCE) for the generation of photons and to the anti-DCE for their destruction, take place at twice the resonator frequency ω. Such oscillations, which are a clear dynamical “smoking gun” of the DCE and become clearly visible when the interaction strength enters ultrastrong coupling (USC) regime, can be predicted by first-order Picard expansion. We also show that the Magnus expansion can be used, through concatenation, as an efficient numerical integrator for both the semiclassical and the quantum Rabi model. In the first case, we find distinctive features in the Fourier spectrum of motion, with a single peak at the Rabi frequency Ω and doublets at frequencies 2nω ± Ω, with n positive integer. We explain these doublets, which are a feature beyond the rotating wave approximation (RWA), on the basis of the Picard series.
Key words: Nonlinear Dynamics
© EDP Sciences / Società Italiana di Fisica / Springer-Verlag GmbH Germany, part of Springer Nature, 2018