Network of parametrically driven silicon nitride mechanical membranes
Networks of nonlinear resonators can emulate complex systems and perform analog computations. Nevertheless, combining high quality factors with strongly coupled and tunable nonlinear resonators in a scalable architecture remains challenging. In this work, the authors realize a network of parametrically driven silicon nitride membranes that fulfills all of these criteria. By metallizing the membranes and actuating them capacitively, the team achieves tunable frequencies and controllable coupled parametric responses. This platform could be used to tackle computationally hard problems and explore emergent collective phenomena.
Authors
- Alexander Eichler (ORCID: https://orcid.org/0000-0001-6757-3442)
- Gabriel Margiani (ORCID: https://orcid.org/0000-0001-7953-7908)
- Letizia Catalini (ORCID: https://orcid.org/0000-0001-9324-1599)
- Vincent Dumont (ORCID: https://orcid.org/0000-0001-9601-6901)
- Suyash Singh
- Luis Mestre
Institutions
- Institute for Atomic and Molecular Physics (NL)
- ETH Zurich (CH)
Publication Details
- Journal
- Physical Review Applied
- Published
- 2025-09-15
- DOI
- https://doi.org/10.1103/kx2w-czjf
- Primary Topic
- Mechanical and Optical Resonators
- Type
- article
- Field-Weighted Citation Impact
- 0.00