George Giamougiannis
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View article: Digital and plasmonic artificial neural networks—Improved nonlinear signal processing at high speed and low complexity
Digital and plasmonic artificial neural networks—Improved nonlinear signal processing at high speed and low complexity Open
Transmission at ever higher data rates increasingly demands more advanced digital signal processing techniques, raising both power consumption and operational costs. Here, we introduce a photonic/plasmonic artificial neural network (ANN) u…
View article: Large-Scale Integrated Photonic Device Platform for Energy-Efficient AI/ML Accelerators
Large-Scale Integrated Photonic Device Platform for Energy-Efficient AI/ML Accelerators Open
View article: Ring-assisted, racetrack, and Mach-Zehnder modulator: which one offers the lowest voltages and chirp-free operation?
Ring-assisted, racetrack, and Mach-Zehnder modulator: which one offers the lowest voltages and chirp-free operation? Open
This study presents a comparison between resonant and non-resonant electro-optical modulator configurations. The focus lies on finding the configuration with the highest modulation amplitude at the lowest drive voltage while achieving a la…
View article: Perfect linear optics using silicon photonics
Perfect linear optics using silicon photonics Open
View article: Scaling Photonic Neural Networks: A Silicon Photonic GeMM Leveraging a Time-space Multiplexed Xbar
Scaling Photonic Neural Networks: A Silicon Photonic GeMM Leveraging a Time-space Multiplexed Xbar Open
We demonstrate experimentally a novel 8×8 AWGR-based photonic matrix multiplier that enables simultaneously time-, wavelength- and space- division multiplexed computing with a computational power of 1.28 TeraFLOP.
View article: MIMO Signals Processing Utilizing Optical Crossbar Linear Operator
MIMO Signals Processing Utilizing Optical Crossbar Linear Operator Open
This paper introduces an innovative photonic MIMO processing architecture through the adaptation of a crossbar linear operator. The merits of this approach, such as restorable fidelity and reduced programming complexity, are highlighted. E…
View article: Photonic neural networks and optics-informed deep learning fundamentals
Photonic neural networks and optics-informed deep learning fundamentals Open
The recent explosive compute growth, mainly fueled by the boost of artificial intelligence (AI) and deep neural networks (DNNs), is currently instigating the demand for a novel computing paradigm that can overcome the insurmountable barrie…
View article: Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators
Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators Open
We discuss our work in optics informed photonic neural networks, an architectural framework bridging the idiosyncrasy of integrated photonic architectures with a set of Deep Learning algorithms, towards harnessing the full potential of lig…
View article: 20 GHz Silicon Integrated Optical Ternary Content Addressable Memory (CAM) Cell
20 GHz Silicon Integrated Optical Ternary Content Addressable Memory (CAM) Cell Open
We propose and experimentally demonstrate an optical ternary content addressable memory cell operating at a record-high search speed of 20 Gb/s on a silicon photonic coherent Crossbar array with an energy efficiency of 0.2 pJ/bit.
View article: Photonic Neural Networks and Optics-informed Deep Learning Fundamentals
Photonic Neural Networks and Optics-informed Deep Learning Fundamentals Open
The recent explosive compute growth, mainly fueled by the boost of AI and DNNs, is currently instigating the demand for a novel computing paradigm that can overcome the insurmountable barriers imposed by conventional electronic computing a…
View article: An integrated multi-beam optical beamformer architecture with beam-shaping capabilities
An integrated multi-beam optical beamformer architecture with beam-shaping capabilities Open
Recent demonstrations of optical phased arrays lack the capability of generating multiple beams simultaneously. We propose an optical multibeam beamformer with independent beams control, relying on a crossbar architecture. The beamforming …
View article: Mixed-precision quantization-aware training for photonic neural networks
Mixed-precision quantization-aware training for photonic neural networks Open
The energy demanding nature of deep learning (DL) has fueled the immense attention for neuromorphic architectures due to their ability to operate in a very high frequencies in a very low energy consumption. To this end, neuromorphic photon…
View article: Perfect Linear Optics using Silicon Photonics
Perfect Linear Optics using Silicon Photonics Open
In recent years, there has been growing interest in using photonic technology to perform the underlying linear algebra operations required by different applications, including neuromorphic photonics, quantum computing and microwave process…
View article: Neuromorphic silicon photonics with 50 GHz tiled matrix multiplication for deep-learning applications
Neuromorphic silicon photonics with 50 GHz tiled matrix multiplication for deep-learning applications Open
The explosive volume growth of deep-learning (DL) applications has triggered an era in computing, with neuromorphic photonic platforms promising to merge ultra-high speed and energy efficiency credentials with the brain-inspired computing …
View article: Analog nanophotonic computing going practical: silicon photonic deep learning engines for tiled optical matrix multiplication with dynamic precision
Analog nanophotonic computing going practical: silicon photonic deep learning engines for tiled optical matrix multiplication with dynamic precision Open
Analog photonic computing comprises a promising candidate for accelerating the linear operations of deep neural networks (DNNs), since it provides ultrahigh bandwidth, low footprint and low power consumption computing capabilities. However…
View article: Coherent photonic crossbar as a universal linear operator
Coherent photonic crossbar as a universal linear operator Open
Linear optics aim at realizing any real- and/or complex-valued matrix operator via optical elements, addressing a broad field of applications in the areas of quantum photonics, microwave photonics and optical neural networks. The transfer …
View article: Fidelity Restorable Universal Linear Optics
Fidelity Restorable Universal Linear Optics Open
Universal multiport interferometers that can be programmed to perform any unitary or linear transformation turn into an important building block for both classical and quantum photonics. These interferometers typically utilize the mathemat…
View article: WDM equipped universal linear optics for programmable neuromorphic photonic processors
WDM equipped universal linear optics for programmable neuromorphic photonic processors Open
Non-von-Neumann computing architectures and deep learning training models have sparked a new computational era where neurons are forming the main architectural backbone and vector, matrix and tensor multiplications comprise the basic mathe…
View article: Programmable photonic neural networks combining WDM with coherent linear optics
Programmable photonic neural networks combining WDM with coherent linear optics Open
Neuromorphic photonics has relied so far either solely on coherent or Wavelength-Division-Multiplexing (WDM) designs for enabling dot-product or vector-by-matrix multiplication, which has led to an impressive variety of architectures. Here…
View article: Neuromorphic photonic technologies and architectures: scaling opportunities and performance frontiers [Invited]
Neuromorphic photonic technologies and architectures: scaling opportunities and performance frontiers [Invited] Open
We review different technologies and architectures for neuromorphic photonic accelerators, spanning from bulk optics to photonic-integrated-circuits (PICs), and assess compute efficiency in OPs/Watt through the lens of a comparative study …
View article: End-to-End 1024-Port Optical Packet Switching With 25 Gb/s Burst-Mode Reception for Data Centers
End-to-End 1024-Port Optical Packet Switching With 25 Gb/s Burst-Mode Reception for Data Centers Open
Despite the fact that Optical Packet Switching (OPS) emerges as a promising solution for future Data Center (DC) networks, towards increasing capacity and radix, while retaining sub-mu s latency performance, the requirement for ultra-fast …