Science Advances · 2024 · 89 citations · 59 references
Natural SciencesGeophysicsPhysicsAcousticsOpticsPhotonicsAcoustic SensingAcoustic Sensing SystemsAcoustic Wave PropagationFiber OpticsOptical FibersSeismic MonitoringAcoustic WavesDistributed Acoustic SensingFiber-optic SensingFrequency Comb MetrologyFrequency CombsOptical Frequency CombsOptical SolitonsSensitivity Enhancement
Fiber-optic distributed acoustic sensing (DAS) has proven to be a revolutionary technology for the detection of seismic and acoustic waves with ultralarge scale and ultrahigh sensitivity, and is widely used in oil/gas industry and intrusion monitoring. Nowadays, the single-frequency laser source in DAS becomes one of the bottlenecks limiting its advance. Here, we report a dual-comb-based coherently parallel DAS concept, enabling linear superposition of sensing signals scaling with the comb-line number to result in unprecedented sensitivity enhancement, straightforward fading suppression, and high-power Brillouin-free transmission that can extend the detection distance considerably. Leveraging 10-line comb pairs, a world-class detection limit of 560 fε/√Hz@1 kHz with 5 m spatial resolution is achieved. Such a combination of dual-comb metrology and DAS technology may open an era of extremely sensitive DAS at the fε/√Hz level, leading to the creation of next-generation distributed geophones and sonars.
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Temporal solitons in optical microresonators
Tobias Herr, Victor Brasch, J. D. Jost et al. · Nature Photonics · 2013 · 2.1K citations · Full text
Ian Coddington, Nathan R. Newbury, William C. Swann · Optica · 2016 · 1.7K citations · Full text
Natural Sciences, Chemistry, Physics +14
Parallel convolutional processing using an integrated photonic tensor core
11 TOPS photonic convolutional accelerator for optical neural networks
Xingyuan Xu, Mengxi Tan, Bill Corcoran et al. · Nature · 2021 · 1.5K citations · Full text
Microresonator-based solitons for massively parallel coherent optical communications
Pablo Marin-Palomo, J. N. Kemal, Maxim Karpov et al. · Nature · 2017 · 1.4K citations · Full text