6 papers · 1 filter
Chip-scale nanostructured chaotic billiards for broadband speckle spectrometry
Matthew R. Wilson, Benoit Guilhabert, Jack A. Smith +2
Computational on-chip spectrometers are emerging as a powerful platform for portable spectral analysis, combining photonic integration with advanced signal processing to enable a w…
Robust Physical Encryption and Unclonable Object Identification in Classical Optical Networks using Standard Integrated Photonic Components
Jack A. Smith, Michael J. Strain
Spectral complexity is a useful resource in physical device identification, disorder-enhanced spectroscopy, and machine learning, but is often achieved in chip-scale devices at the…
Compact Eye Tracking for VR/AR Displays via Deep Learned MicroLED Projection and Single-Pixel Sensing
Graeme E. Johnstone, Catherine F. Higham, Aisha Kanwal +5
Fast and accurate eye tracking in a virtual reality or augmented reality headset could lead to better display performance and enable novel methods of user interaction with the syst…
On-chip wave chaos for photonic extreme learning
Matthew R. Wilson, Jack A. Smith, Michael J. Strain +1
The increase in demand for scalable and energy efficient artificial neural networks has put the focus on novel hardware solutions. Integrated photonics offers a compact, parallel a…
Modulation of nanowire emitter arrays using micro-LED technology
Zhongyi Xia, Dimitars Jevtics, Benoit Guilhabert +6
A scalable excitation platform for nanophotonic emitters using individually addressable micro-LED-on-CMOS arrays is demonstrated for the first time. Heterogeneous integration by tr…
Transfer printing micro-assembly of silicon photonic crystal cavity arrays: beating the fabrication tolerance limit
Sean P. Bommer, Christopher Panuski, Benoit Guilhabert +5
Photonic crystal cavities (PhCCs) can confine optical fields in ultra-small volumes, enabling efficient light-matter interactions for quantum and non-linear optics, sensing and all…