Quasi-phase-matching enabled by van der Waals stacking

Yilin Tang, Kabilan Sripathy, Hao Qin, Zhuoyuan Lu, Giovanni Guccione, Jiri Janousek, Yi Zhu, Md Mehedi Hasan, Yoshihiro Iwasa, Ping Koy Lam () and Yuerui Lu ()
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Yilin Tang: Computing and Cybernetics, the Australian National University
Kabilan Sripathy: College of Science, The Australian National University
Hao Qin: Computing and Cybernetics, the Australian National University
Zhuoyuan Lu: Computing and Cybernetics, the Australian National University
Giovanni Guccione: The Australian National University
Jiri Janousek: Computing and Cybernetics, the Australian National University
Yi Zhu: University of Oxford
Md Mehedi Hasan: Computing and Cybernetics, the Australian National University
Yoshihiro Iwasa: RIKEN Center for Emergent Matter Science
Ping Koy Lam: College of Science, The Australian National University
Yuerui Lu: Computing and Cybernetics, the Australian National University

Nature Communications, 2024, vol. 15, issue 1, 1-9

Abstract: Abstract Quasi-phase matching (QPM) is a technique extensively utilized in nonlinear optics for enhancing the efficiency and stability of frequency conversion processes. However, the conventional QPM relies on periodically poled ferroelectric crystals, which are limited in availability. The 3R phase of molybdenum disulfide (3R-MoS2), a transition metal dichalcogenide (TMDc) with the broken inversion symmetry, stands out as a promising candidate for QPM, enabling efficient nonlinear process. Here, we experimentally demonstrate the QPM at nanoscale, utilizing van der Waals stacking of 3R-MoS2 layers with specific orientation to realize second harmonic generation (SHG) enhancement beyond the non QPM limit. We have also demonstrated enhanced spontaneous parametric down-conversion (SPDC) via QPM of 3R-MoS2 homo-structure, enabling more efficient generation of entangled photon pairs. The tunable capacity of 3R-MoS2 van der Waals stacking provides a platform for tuning phase-matching condition. This technique opens interesting possibilities for potential applications in nonlinear process and quantum technology.

Date: 2024
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DOI: 10.1038/s41467-024-53472-2

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