Abstract

Photonic lattices of mutually interacting indistinguishable cavities represent a cornerstone of collective phenomena in optics and could become important in advanced sensing or communication devices. The disorder induced by fabrication technologies has so far hindered the development of such resonant cavity architectures, while post-fabrication tuning methods have been limited by complexity and poor scalability. Here we present a new simple and scalable tuning method for ensembles of microphotonic and nanophotonic resonators, which enables their permanent collective spectral alignment. The method introduces an approach of cavity-enhanced photoelectrochemical etching in a fluid, a resonant process triggered by sub-bandgap light that allows for high selectivity and precision. The technique is presented on a gallium arsenide nanophotonic platform and illustrated by finely tuning one, two and up to five resonators. It opens the way to applications requiring large networks of identical resonators and their spectral referencing to external etalons.

Highlights

  • Photonic lattices of mutually interacting indistinguishable cavities represent a cornerstone of collective phenomena in optics and could become important in advanced sensing or communication devices

  • The results reported in the following are obtained with gallium arsenide (GaAs) disk resonators, whose typical dimensions are of 320 nm in thickness and 1 mm in radius[34,35,36]

  • An illustration of the resonant PEC etching method applied to GaAs disks is given in Fig. 1a, where one individual resonator is selectively etched and tuned by laser light, while the other two are out of resonance and remain in essence unaffected

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Summary

Introduction

Photonic lattices of mutually interacting indistinguishable cavities represent a cornerstone of collective phenomena in optics and could become important in advanced sensing or communication devices. Scalable high-precision tuning of photonic resonators by resonant cavity-enhanced photoelectrochemical etching

Results
Conclusion

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