Optical Semantic Holographic Communication

Holographic communication enables immersive metaverse interaction but transmitting dynamic media like point clouds demands unprecedented bandwidth, a key challenge for current networks. We propose an optical semantic holographic communication architecture integrating deep learning algorithms, coherence-cloned Kerr microcombs, and hollow-core optical fiber to meet bandwidth, fidelity, and low-latency requirements, achieving the first 100 km coherent transmission using coherence-cloned Kerr microcombs. Deep learning-enabled semantic joint coding-modulation (JCM) improves capacity by 65.3% and enhances channel robustness compared with conventional digital protocols. For phase-sensitive constellations of the JCM-generated discrete-time continuous-amplitude symbols, the microcombs act as phase-matched carriers/oscillators for stable coherent detection. The ultra-low nonlinearity of the hollow-core fiber preserves semantic integrity, further suppresses link-phase noise, and synergizes with microcombs for physical-layer phase noise control. Our system achieves 2.5875 trillion 3D points/s with superior quality, setting a new artificial intelligence-native metaverse benchmark.