Integrated photonic systems and materials for high-speed communication, quantum networks, and intelligent optical computing

In order to meet the concurrent needs of quantum information processing, high-speed data transmission, and developing neuromorphic computing architectures, integrated photonic technologies are coming together. In order to improve the scalability and functionality of photonic integrated circuits, this article provides a thorough analysis of recent developments in material platforms, heterogeneous integration techniques, and packaging innovations. We study three complementary material systems: silicon-organic hybrid platforms that provide 200 Gb/s per lane bandwidth with a 40% smaller form factor than traditional silicon photonics; site-controlled gallium arsenide quantum dot arrays edge-coupled to silicon nitride waveguides with 5% absolute coupling efficiency and 0.17 relative collection efficiency; and lithium tantalate-on-silicon nitride modulators that achieve 100 GHz bandwidth with a 6 V half-wave voltage and net data rates of 581 Gbit/s for 16-QAM signals. Wafer-scale protocols that achieve >50% probability for telecom-wavelength color centers in silicon with sub-100 nm positioning accuracy are demonstrated by parallel developments in deterministic single-photon emitter creation. Additionally, we investigate a novel plug-and-play fiber coupling concept using threedimensionally printed total reflection couplers that achieve sub-dB loss in the 1500-1600 nm telecommunications band, allowing neuromorphic processors with 17-port connectivity to be packaged in a scalable manner. According to our findings, integrated photonics is on the verge of being widely used in data centers, quantum communication networks, and intelligent optical computing systems due to the convergence of heterogeneous material integration, deterministic quantum emitter fabrication, and standardized packaging techniques. While acknowledging the ongoing challenges in absolute efficiency, manufacturing yield, and long-term stability, we present comparative performance metrics across modulator platforms, quantum source integration strategies, and packaging approaches, identifying optimal configurations for particular application contexts.

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