Traditional challenges in creating complex lattice structures with specific couplings in 3D are addressed by SDs, which facilitate the construction of elaborate networks of resonators. These networks have enabled demonstrations of concepts like non-Hermitian topological winding and parity-time symmetry. By leveraging various system parameters, such as frequency and spatial modes, SDs are instrumental in advancing applications from optical communications to the development of topological insulator lasers.
The aspiration for a "utopian" network, where modes can be precisely coupled, drives research in this area. This ambition focuses on enhancing photonic system capabilities, including data transmission and laser efficiency.
Recent findings, published in Advanced Photonics, showcase an international collaboration's success in creating waveguide arrays that establish synthetic modal dimensions for controlled light manipulation. Professor Zhigang Chen from Nankai University highlights the achievement of modulating light modes within these arrays, edging closer to the envisioned "utopian" networks. By employing artificial neural networks (ANNs) to design these arrays, the team achieved desired light propagation patterns and demonstrated topological control of light using a Su-Schrieffer-Heeger (SSH) lattice.
This research not only advances the design and fabrication of photonic devices but also opens the door to exploring physics beyond geometrical limitations. Professor Hrvoje Buljan of the University of Zagreb emphasizes the broader implications for mode lasing, quantum optics, and data transmission. The integration of topological and synthetic dimension photonics, powered by deep learning, heralds a new era of material and device innovation.
Research Report:"Deep-learning-empowered synthetic dimension dynamics: morphing of light into topological modes,"
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