Gauge‐Flux‐Induced Anti‐Pt Phase Transitions for Extreme Control of Channel‐Drop Tunneling

Author:

Qin Chengzhi1ORCID,Wang Bing1ORCID,Fan Shanhui2ORCID,Lu Peixiang13

Affiliation:

1. Wuhan National Laboratory for Optoelectronics and School of Physics Huazhong University of Science and Technology Wuhan Hubei 430074 China

2. Ginzton Laboratory and Department of Electrical Engineering Stanford University Stanford CA 94305 USA

3. Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan Hubei 430205 China

Abstract

AbstractParity‐time (PT) and anti‐parity‐time (anti‐PT) symmetries have provided important guiding principles in the research of non‐Hermitian physics. However, realizations of anti‐PT symmetry in photonic systems usually rely on optical nonlinearities and indirect‐coupling approaches. Here, they apply the channel interference principle mediated by synthetic gauge‐flux biasing in open‐cavity systems to construct anti‐PT symmetries. It is shown that a specific π‐flux biasing into a looped‐resonator array can force a frequency degeneracy between pairwise Bloch modes therein. By further coupling the array into two external waveguides with tailored positions of ports, the system near the degeneracy point can be described by an anti‐PT‐symmetric Hamiltonian. When a real gauge‐flux detuning is introduced, the system undergoes a spontaneous transition between anti‐PT and anti‐PT‐broken phases, through which the two extreme cases of complete channel‐drop tunneling and complete tunneling suppression can be switched. Finally, by superimposing a PT‐symmetric term onto the anti‐PT‐symmetric Hamiltonian via applying an imaginary gauge‐flux biasing, extreme channel‐drop amplifying effects can be further realized by exciting the “lasing mode under the critical‐coupling condition. The work bridges the physical connection between synthetic gauge field and anti‐PT symmetry. This paradigm may also find many applications from optical routing, and switching to buffering and amplifying on a chip–scale platform.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Multidisciplinary University Research Initiative

Publisher

Wiley

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