Topological spectral features and tight-binding Hamiltonian in the thermal noise of transmission-line networks

K Kiyoshi Ishikawa (Graduate School of Science, University of Hyogo 1 , Koto 3-2-1, Ako-gun, Hyogo 678-1297,) B Brian Patton (Midjourney, Inc. 2 , 260 8th Street, San Francisco, California 94103,)

Abstract

We investigate topological features of Johnson–Nyquist noise in networks of coaxial transmission lines. These networks exhibit well-known topological effects, such as bandgaps and protected edge states. In contrast to other topolectrical circuit systems, the transmission-line networks analyzed herein are intrinsically excited, and since constituent elements are comparable in size to the resonant wavelength, the Hamiltonian formalism is motivated by these distinctions. The noise spectrum can be predicted by a Hamiltonian analogous to that of electrons in a tight-binding model, and a newly introduced variable characterizes the symmetry of each mode and predicts its frequency and width. Certain networks sustain a dark mode that cannot be externally detected or excited, but whose presence is nonetheless guaranteed by the fluctuation–dissipation theorem. When the geometrical uniformity of the network is slightly broken, this previously invisible mode appears at the frequency predicted by the Hamiltonian. Transmission-line networks represent a promising platform for studies of topological physics since the resonant frequency, coupling strength, and connectivity can be easily modified. Owing to chiral symmetry, these eigenmodes are topologically protected in the face of small perturbations arising from component imperfections and intentional symmetry breaking.

Article Details

Volume / Issue Vol. 140, Issue 7
Published August 21, 2026
ISSN 0021-8979
Publisher American Institute of Physics

Journal Info

Journal of Applied Physics

American Institute of Physics

ISSN: 0021-8979 Physical Sciences

Authors (2)

K

Kiyoshi Ishikawa

Graduate School of Science, University of Hyogo 1 , Koto 3-2-1, Ako-gun, Hyogo 678-1297,

B

Brian Patton

Midjourney, Inc. 2 , 260 8th Street, San Francisco, California 94103,