Dynamic spatiotemporal beams that combine two independent and controllable orbital-angular-momenta using multiple optical-frequency-comb lines

Zhe Zhao (), Hao Song, Runzhou Zhang, Kai Pang, Cong Liu, Haoqian Song, Ahmed Almaiman, Karapet Manukyan, Huibin Zhou, Brittany Lynn, Robert W. Boyd, Moshe Tur and Alan E. Willner ()
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Zhe Zhao: University of Southern California
Hao Song: University of Southern California
Runzhou Zhang: University of Southern California
Kai Pang: University of Southern California
Cong Liu: University of Southern California
Haoqian Song: University of Southern California
Ahmed Almaiman: University of Southern California
Karapet Manukyan: University of Southern California
Huibin Zhou: University of Southern California
Brittany Lynn: Naval Information Warfare Center Pacific
Robert W. Boyd: University of Ottawa
Moshe Tur: Tel Aviv University
Alan E. Willner: University of Southern California

Nature Communications, 2020, vol. 11, issue 1, 1-10

Abstract: Abstract Novel forms of beam generation and propagation based on orbital angular momentum (OAM) have recently gained significant interest. In terms of changes in time, OAM can be manifest at a given distance in different forms, including: (1) a Gaussian-like beam dot that revolves around a central axis, and (2) a Laguerre-Gaussian ( $$LG_{\ell ,p}$$ L G ℓ , p ) beam with a helical phasefront rotating around its own beam center. Here we explore the generation of dynamic spatiotemporal beams that combine these two forms of orbital-angular-momenta by coherently adding multiple frequency comb lines. Each line carries a superposition of multiple $$LG_{\ell ,p}$$ L G ℓ , p modes such that each line is composed of a different $$\ell$$ ℓ value and multiple p values. We simulate the generated beams and find that the following can be achieved: (a) mode purity up to 99%, and (b) control of the helical phasefront from 2π-6π and the revolving speed from 0.2–0.6 THz. This approach might be useful for generating spatiotemporal beams with even more sophisticated dynamic properties.

Date: 2020
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DOI: 10.1038/s41467-020-17805-1

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