117 citations · 231 across the 11 of their papers we have counts for
11 papers
Investigating the Performance of Adaptive Optics on Different Bases of Spatial Modes in Turbulent Channels
Rojan Abolhassani, Lukas Scarfe, Francesco Di Colandrea +3
Quantum key distribution (QKD) allows secure key exchange based on the principles of quantum mechanics, with higher-dimensional photonic states offering enhanced channel capacity a…
Imaging at the quantum limit with convolutional neural networks
Andrew H. Proppe, Aaron Z. Goldberg, Guillaume Thekkadath +8
Deep neural networks have been shown to achieve exceptional performance for computer vision tasks like image recognition, segmentation, and reconstruction or denoising. Here, we ev…
Single-Photon Generation: Materials, Techniques, and the Rydberg Exciton Frontier
Arya Keni, Kinjol Barua, Khabat Heshami +2
Due to their quantum nature, single-photon emitters generate individual photons in bursts or streams. They are paramount in emerging quantum technologies such as quantum key distri…
Programmable Photonic Quantum Circuits with Ultrafast Time-bin Encoding
Frédéric Bouchard, Kate Fenwick, Kent Bonsma-Fisher +4
We propose a quantum information processing platform that utilizes the ultrafast time-bin encoding of photons. This approach offers a pathway to scalability by leveraging the inher…
Photonic quantum walk with ultrafast time-bin encoding
Kate L. Fenwick, Frédéric Bouchard, Duncan England +3
The quantum walk (QW) has proven to be a valuable testbed for fundamental inquiries in quantum technology applications such as quantum simulation and quantum search algorithms. Man…
Coherent Feed Forward Quantum Neural Network
Utkarsh Singh, Aaron Z. Goldberg, Khabat Heshami
Quantum machine learning, focusing on quantum neural networks (QNNs), remains a vastly uncharted field of study. Current QNN models primarily employ variational circuits on an ansa…