Abstract
The emergence of breathing solitons in mode-locked lasers presents a fundamental challenge for the theoretical modeling of mode locking, with the mechanisms underlying below- and above-threshold breathing solitons, and the origins of their distinct nonlinear dynamics, remaining poorly understood. Here, we develop a model that incorporates both spatial and temporal gain dynamics, enabling us to elucidate the origins of these two classes of pulsating states.We show that below-threshold breathing solitons arise from the interplay between Q switching and soliton shaping, whereas Kerr nonlinearity and dispersion dominate the formation of above-threshold breathers. The model further captures the markedly different dynamical properties of these regimes. Experimental observations corroborate the simulations, validating the
predictive power of the framework. Beyond providing a refined theoretical basis for ultrafast laser design, this Letter advances the broader understanding of nonequilibrium dynamics in mode-locked lasers and offers new perspectives on breathing soliton phenomena across diverse physical systems.
predictive power of the framework. Beyond providing a refined theoretical basis for ultrafast laser design, this Letter advances the broader understanding of nonequilibrium dynamics in mode-locked lasers and offers new perspectives on breathing soliton phenomena across diverse physical systems.
| Original language | English |
|---|---|
| Article number | 123801 |
| Number of pages | 7 |
| Journal | Physical Review Letters |
| Volume | 136 |
| DOIs | |
| Publication status | Published - 27 Mar 2026 |
Bibliographical note
Copyright © 2026 American Physical Society. This is the accepted manuscript of an article published in Physical Review Letters. The published version is available at: https://doi.org/10.1103/rk2z-ymknFunding
We acknowledge support from the Innovation Program for Quantum Science and Technology (Grant No. 2023ZD0301000), National Natural Science Fund of China (Grants No. 12434018, No. 62475073, No. 1243000542, No. 11621404, No. 11561121003, No. 11727812, No. 61775059, No. 12074122, No. 62405090, No. 62035005, and No. 11704123), Shanghai Natural Science Foundation (Grant No. 23ZR1419000), China Postdoctoral Science Foundation (Grants No. 2023M741188 and No. 2024T170275).
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