5 citations · 6 across the 7 of their papers we have counts for
7 papers
Polarization Tracking and Active Compensation Using Classical Headers in Quantum Wrapper Networking
Gamze Gül, James van Howe, Gregory S. Kanter +6
Quantum wrapper networking (QWN) is an emerging quantum networking protocol that wraps qubits in classical header bits to enable switching/routing, monitoring, and control without…
Mixed Precision Photonic Computing with 3D Electronic-Photonic Integrated Circuits
Georgios Charalampous, Rui Chen, Mehmet Berkay On +12
We propose advancing photonic in-memory computing through three-dimensional photonic-electronic integrated circuits using phase-change materials (PCM) and AlGaAs-CMOS technology. T…
Experimental Demonstration of Imperfection-Agnostic Local Learning Rules on Photonic Neural Networks with Mach-Zehnder Interferometric Meshes
Luis El Srouji, Mehmet Berkay On, Yun-Jhu Lee +2
Mach-Zehnder Interferometric meshes are attractive for low-loss photonic matrix multiplication but are challenging to program. Using least-squares optimization of directional deriv…
Programmable Integrated Photonics for Topological Hamiltonians
Mehmet Berkay On, Farshid Ashtiani, David Sanchez-Jacome +3
A variety of topological Hamiltonians have been demonstrated in photonic platforms, leading to fundamental discoveries and enhanced robustness in applications such as lasing, sensi…
Quantum Wrapper Networking
S. J. Ben Yoo, Sandeep Kumar Singh, Mehmet Berkay On +4
We introduce a new concept of Quantum Wrapper Networking, which enables control, management, and operation of quantum networks that can co-exist with classical networks while keepi…
Scalable Nanophotonic-Electronic Spiking Neural Networks
Luis El Srouji, Yun-Jhu Lee, Mehmet Berkay On +2
Spiking neural networks (SNN) provide a new computational paradigm capable of highly parallelized, real-time processing. Photonic devices are ideal for the design of high-bandwidth…
Izhikevich-Inspired Optoelectronic Neurons with Excitatory and Inhibitory Inputs for Energy-Efficient Photonic Spiking Neural Networks
Yun-jhu Lee, Mehmet Berkay On, Xian Xiao +2
We designed, prototyped, and experimentally demonstrated, for the first time to our knowledge, an optoelectronic spiking neuron inspired by the Izhikevich model incorporating both…