Exact quantization of nonreciprocal quasi-lumped electrical networks

Autor: Parra-Rodriguez, A., Egusquiza, I. L.
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: Following a consistent geometrical description previously introduced in Parra-Rodriguez et al. (2024), we present an exact method for obtaining canonically quantizable Hamiltonian descriptions of nonlinear, nonreciprocal quasi-lumped electrical networks. We identify and classify singularities arising in the quest for Hamiltonian descriptions of general quasi-lumped element networks via the Faddeev-Jackiw technique. We offer systematic solutions to cases previously considered singular--a major challenge in the context of canonical circuit quantization. The solution relies on the correct identification of the reduced classical circuit-state manifold, i.e., a mix of flux and charge fields and functions. Starting from the geometrical description of the transmission line, we provide a complete program including lines coupled to one-port lumped-element networks, as well as multiple lines connected to multiport nonreciprocal lumped-element networks, with intrinsic ultraviolet cutoff. On the way we naturally extend the canonical quantization of transmission lines coupled through frequency-dependent, nonreciprocal linear systems, such as practical circulators. Additionally, we demonstrate how our method seamlessly facilitates the characterization of general nonreciprocal, dissipative linear environments. This is achieved by extending the Caldeira-Leggett formalism, using continuous limits of series of immittance matrices. We provide a tool in the analysis and design of electrical circuits and of special interest in the context of canonical quantization of superconducting networks. For instance, this work will provide a solid ground for a precise non-divergent input-output theory in the presence of nonreciprocal devices, e.g., within (chiral) waveguide QED platforms.
Comment: 39 pages. 20 figures. Several additions made. Typos corrected from previous version
Databáze: arXiv