activity
20242026
collaborators
Showing physics.opticsShow all

7 papers · 1 filter

physics.optics2026

Tunable spatio-spectral Target Skyrmions and topological multiplexing

Pedro Ornelas, Niladri Modak, Oussama Korichi +3

Optical Skyrmions have recently garnered much interest providing a potential avenue for high capacity, robust topological information transfer. Typically, Skyrmions are derived fro…

physics.optics2025

Deep diffractive optical neural networks for detecting Skyrmionic topologies of light

Hadrian Bezuidenhout, Cade Peters, Ram Kumar +2

Optical Skyrmions are topological forms of structured light with the potential of an infinite encoding alphabet that is immune to disturbance. This attractive prospect is hindered…

physics.optics2025

Wavelength-adaptive spin-orbit orbital angular momentum management in three-wave mixing

Kiki Dekkers, Mwezi Koni, Vagharshak Hakobyan +5

Here we propose the use of an adjustable liquid crystal spin-orbit device to shape bi-colour structured light to create bimodal states. We demonstrate the proof-of-principle for tw…

physics.optics2025

Tailoring light to create invariant modal spectra through complex channels

Cade Peters, Isaac Nape, Andrew Forbes

Light's spatial degree of freedom is emerging as a potential resource for a myriad of applications, in both classical and quantum domains, including secure communication, sensing a…

physics.optics2025

Enhanced fidelity in nonlinear structured light by virtual light-based apertures

Sachleen Singh, Isaac Nape, Andrew Forbes

Tailoring the degrees of freedom (DoF) of light for a desired purpose, so-called structured light, has delivered numerous advances over the past decade, ranging from communications…

physics.optics2024

Emulating a quantum Maxwell's demon with non-separable structured light

Edgar Medina-Segura, Paola C. Obando, Light Mkhumbuza +6

Maxwell's demon (MD) has proven an instructive vehicle by which to explore the relationship between information theory and thermodynamics, fueling the possibility of information dr…