English

Quantum noise dynamics in nonlinear pulse propagation

Quantum Physics 2023-07-12 v1 Optics

Abstract

The propagation of ultrafast pulses in dispersion-engineered waveguides, exhibiting strong field confinement in both space and time, is a promising avenue towards single-photon nonlinearities in an all-optical platform. However, quantum engineering in such systems requires new numerical tools and physical insights to harness their complicated multimode and nonlinear quantum dynamics. In this work, we use a self-consistent, multimode Gaussian-state model to capture the nonlinear dynamics of broadband quantum fluctuations and correlations, including entanglement. Notably, despite its parametrization by Gaussian states, our model exhibits nonlinear dynamics in both the mean field and the quantum correlations, giving it a marked advantage over conventional linearized treatments of quantum noise, especially for systems exhibiting gain saturation and strong nonlinearities. Numerically, our approach takes the form of a Gaussian split-step Fourier (GSSF) method, naturally generalizing highly efficient SSF methods used in classical ultrafast nonlinear optics; the equations for GSSF evaluate in O(M2logM)O(M^2\log M) time for an MM-mode system with O(M2)O(M^2) quantum correlations. To demonstrate the broad applicability of GSSF, we numerically study quantum noise dynamics and multimode entanglement in several ultrafast systems, from canonical soliton propagation in third-order (χ(3)\chi^{(3)}) waveguides to saturated χ(2)\chi^{(2)} broadband parametric generation and supercontinuum generation, e.g., as recently demonstrated in thin-film lithium niobate nanophotonics.

Keywords

Cite

@article{arxiv.2307.05464,
  title  = {Quantum noise dynamics in nonlinear pulse propagation},
  author = {Edwin Ng and Ryotatsu Yanagimoto and Marc Jankowski and M. M. Fejer and Hideo Mabuchi},
  journal= {arXiv preprint arXiv:2307.05464},
  year   = {2023}
}

Comments

The first two authors contributed equally to this work. 19 pages, 4 figures

R2 v1 2026-06-28T11:27:25.713Z