Broadband Millimetre Wave Comb Generation via Laser-Cavity Soliton Microcombs
Bibliographic record
Abstract
Critical applications such as ultra-fast communication and precision radar demand sources capable of delivering low-jitter, highly stable signals in the millimetre wave range. Optical frequency combs in microresonators, or microcombs, have emerged as important sources for distributing metrological references in the 100 GHz to THz range [1]–[4]. We present a millimetre wave comb generated directly from a laser cavity-soliton (LCS) microcomb [5]. This system leverages the stability, high conversion efficiency, and compactness of LCS microcombs centred at wavelength$\lambda=1545 \text{nm}$, achieving pulsed millimetre radiation at the repetition rate of the microcomb (50 GHz) with a spectrum reaching 650 GHz. Our approach provides low-jitter (less than 1 fs from a locked LCS comb) generation, crucial for high-speed data transmission, real-time diagnostics, and advanced spectroscopy. The emission is achieved using photoconductive antennas and operating our diagnostic in a time- domain spectroscopy configuration, typical of terahertz (THz) generation systems. By manipulating soliton states, we demonstrate control over the phase and amplitude of the millimetre wave comb. The radiation can be obtained from the system when operated without external amplification, with half of the comb power fed to the emitter and half to the diagnostic, respectively. These advancements position the LCS-based millimetre wave comb as a versatile and scalable platform for future THz-integrated systems. This work opens new possibilities for ultra-fast communication, precision metrology, and on-chip spectroscopic applications and clock dissemination.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".