Visible to the public Biblio

Filters: Keyword is Optical surface waves  [Clear All Filters]
2021-02-23
Djordjevic, I. B..  2020.  Surface Codes Based Quantum Networking. 2020 22nd International Conference on Transparent Optical Networks (ICTON). :1—5.
We propose a multipartite quantum communication network (QCN) based on surface codes (SCs). We describe how simultaneously to entangle multiple nodes in an arbitrary network topology by employing the SCs. We further describe how to extend the transmission distance between arbitrary two nodes by using the SCs as well. Finally, we describe how to operate the proposed QCN by employing the SDN concept.
2020-12-21
Ma, J., Feng, Z., Li, Y., Sun, X..  2020.  Topologically Protected Acoustic Wave Amplification in an Optomechanical Array. 2020 Conference on Lasers and Electro-Optics (CLEO). :1–2.
By exploiting the simultaneous particle-conserving and particle-nonconserving phonon-photon interactions in an optomechanical array, we find a topologically protected edge state for phonons that can be parametrically amplified when all the bulk states remain stable.
2017-03-08
Torabi, A., Shishegar, A. A..  2015.  Combination of characteristic Green's function technique and rational function fitting method for computation of modal reflectivity at the optical waveguide end-facet. 2015 International Conference on Photonics, Optics and Laser Technology (PHOTOPTICS). 2:14–21.

A novel method for computation of modal reflectivity at optical waveguide end-facet is presented. The method is based on the characteristic Green's function (CGF) technique. Using separability assumption of the structure and rational function fitting method (RFFM), a closed-form field expression is derived for optical planar waveguide. The uniform derived expression consists of discrete and continuous spectrum contributions which denotes guided and radiation modes effects respectively. An optimization problem is then defined to calculate the exact reflection coefficients at the end-facet for all extracted poles obtained from rational function fitting step. The proposed CGF-RFFM-optimization offers superior exactness in comparison with the previous reported CGF-complex images (CI) technique due to contribution of all components of field in the optimization problem. The main advantage of the proposed method lies in its simple implementation as well as precision for any refractive index contrast. Excellent numerical agreements with rigorous methods are shown in several examples.