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Updated: Dec 27, 2025

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Published on: July 21, 2018
Coupling between Exciton-Polariton Corner Modes through Edge States.
R Banerjee1, S Mandal1, T C H Liew1
1Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore.
Higher order topological insulators feature robust corner states for information storage. This study demonstrates nonlinear exciton polaritons can couple these corner states via edge states, enabling communication.
Area of Science:
- Condensed matter physics
- Topological materials
- Quantum information science
Background:
- Higher order topological insulators (HOTIs) exhibit unique topological properties.
- Two-dimensional HOTIs host localized zero-dimensional corner modes within the band gap.
- These corner modes are robust against disorder, making them promising for information trapping.
Purpose of the Study:
- To address the challenge of information exchange between spatially separated corner states in 2D HOTIs.
- To propose a novel mechanism for coupling topological corner modes using nonlinear optical phenomena.
- To realize a system of multiple, connectible topological modes for potential quantum information applications.
Main Methods:
- Utilizing an exciton polariton system, which combines properties of excitons and photons.
- Employing nonlinear optical parametric scattering to mediate interactions.
- Investigating the coupling between corner states through intermediate edge states.
Main Results:
- Demonstrated nonlinear coupling between distinct topological corner modes.
- Established a mechanism for information transfer between corner states via edge states.
- Showcased the potential for creating interconnected topological modes in a controllable system.
Conclusions:
- Nonlinear exciton polaritons offer a viable route to couple robust topological corner states.
- This approach overcomes the limitation of isolated corner modes in 2D HOTIs.
- The proposed system paves the way for novel topological quantum information processing platforms.
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