We propose the Sagnac ring with wide-band, reliable reflection f or self-injection locking, achieving lasers with an intrinsic linewidth as low as 24.38 Hz and demonstrating mode-locked microcomb generation at differe...
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We propose a method of tuning the repetition rate of soliton microcombs by temperature. The tunable range reaches 12 MHz. The trade-off between acquisition rate and precision of ranging systems is overcome without add...
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ISBN:
(纸本)9781957171258
We propose a method of tuning the repetition rate of soliton microcombs by temperature. The tunable range reaches 12 MHz. The trade-off between acquisition rate and precision of ranging systems is overcome without additional barrier.
We propose a targeted piecewise feedforward neural network (PW-FNN) to mitigate both the linear and nonlinear distortions in intensity modulation direct detection (IM-DD) system based on direct modulated laser (DML). ...
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Channel prediction is an effective approach for reducing the feedback or estimation overhead in massive multi-input multi-output (m-MIMO) systems. However, existing channel prediction methods lack precision due to mod...
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Channel prediction is an effective approach for reducing the feedback or estimation overhead in massive multi-input multi-output (m-MIMO) systems. However, existing channel prediction methods lack precision due to model mismatch errors or network generalization issues. Large language models (LLMs) have demonstrated powerful modeling and generalization abilities, and have been successfully applied to cross-modal tasks, including the time series analysis. Leveraging the expressive power of LLMs, we propose a pre-trained LLM-empowered channel prediction(LLM4CP)method to predict the future downlink channel state information (CSI) sequence based on the historical uplink CSI sequence. We fine-tune the network while freezing most of the parameters of the pre-trained LLM for better cross-modality knowledge transfer. To bridge the gap between the channel data and the feature space of the LLM,preprocessor, embedding, and output modules are specifically tailored by taking into account unique channel characteristics. Simulations validate that the proposed method achieves state-of-the-art (SOTA) prediction performance on full-sample, few-shot, and generalization tests with low training and inference costs.
Amplified spontaneous emission (ASE) noise with inherent quantum nature is promising for true random number generator (TRNG) and secure key generation and distribution (SKGD). A high-speed TRNG and a physical-layer SK...
Amplified spontaneous emission (ASE) noise with inherent quantum nature is promising for true random number generator (TRNG) and secure key generation and distribution (SKGD). A high-speed TRNG and a physical-layer SKGD scheme are proposed and demonstrated using the polarization dynamics of an ASE source. The ASE-based randomness is enhanced in TRNG using digital signal processing on the two orthogonal polarization modes, while the fluctuation of the state of polarization (SOP) in ASE is applied as the random source in SKGD. A 16.8 Tb/s TRNG is successfully demonstrated with spectrum slicing of ASE. An error-free SKGD with a key generation rate (KGR) of 10.1 Gb/s is demonstrated over a 10-km standard single-mode fiber channel.
We proposed a mode-switching based reconfigurable optical power splitter with channel number scalability covering 1, 2, 4, and 8 channels, which can be used for versatile MSA-compatible optical interconnects with mini...
We proposed a mode-switching based reconfigurable optical power splitter with channel number scalability covering 1, 2, 4, and 8 channels, which can be used for versatile MSA-compatible optical interconnects with minimal switching control and large bandwidth.
We design a 2-bit high-pass delta-sigma modulator based on 4th-order cascaded resonator feedback structure, and experimentally demonstrate IFoF transmission of 1.88GHz bandwidth 16384-QAM in 32Gb/s DML-DD link. 0.58% ...
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Many-body entangled states allow precision measurement beyond the standard quantum limit. Yet they have not been effectively exploited in optical lattice clocks except for proof-of-principle demonstrations. Under the ...
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Many-body entangled states allow precision measurement beyond the standard quantum limit. Yet they have not been effectively exploited in optical lattice clocks except for proof-of-principle demonstrations. Under the current experimental conditions, taking into account the lattice perturbation, atom-atom interactions, and local oscillator noise, we theoretically evaluate the performance of spin-squeezing-based shallow-lattice Yb optical clocks. The numerical simulation shows that the stability of differential frequency comparison between two Yb ensembles in squeezed spin states potentially accesses the 10−19 level at the averaging time of 1 s. The resultant Wineland parameter may be as low as ξW2=0.027, corresponding to a reduction of averaging time by a factor of 37, and is limited by the collision-induced degradation of spin squeezing. The metrological gain provided by spin squeezing opens up new opportunities for precision measurement and fundamental physics.
In our previous study, localized spoof surface plasmon (LSSP) skyrmions were excited by microstrip line and coplanar waveguide, which achieved the guided wave excitation of the LSSP skyrmions. In this study, the LSSP ...
In our previous study, localized spoof surface plasmon (LSSP) skyrmions were excited by microstrip line and coplanar waveguide, which achieved the guided wave excitation of the LSSP skyrmions. In this study, the LSSP skyrmions are excited by another kind of transmission line, two-conductor line. Compared with the counterparts excited by the microstrip line and the coplanar waveguide, the structure consists of only one space-coiling meta-structure, which has the advantage of simple structure. It is demonstrated that the LSSP skyrmions excited by the two-conductor line also have the favorable characteristics of topological robustness and near-equidistant multi-resonant response. This study provides a new idea for the planar integration of the LSSP skyrmions.
A noise-robust radio frequency fingerprint (RFF) extraction and identification scheme is proposed and demonstrated for Wi-Fi device recognition. Specifically, an RFF extractor pre-trained by supervised contrastive lea...
A noise-robust radio frequency fingerprint (RFF) extraction and identification scheme is proposed and demonstrated for Wi-Fi device recognition. Specifically, an RFF extractor pre-trained by supervised contrastive learning extracts the distinctive features from the spectrogram, which is produced by Fourier-based sychrosqueezing transform (FSST). Then a neural network-based classifier is adopted for precise device identification with the extracted RFF. Utilizing 11 commercial wireless network interface controllers (WNICs), the experimental results demonstrate the significant performance improvement for noisy channels, with classification accuracy achieving up to 95.7 % and 86% when the signal-to-noise ratio (SNR) is 10 and 5 dB, respectively.
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