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Photonic Ising machines toward and beyond a million spins
A. Aadhi, Nayem Al-Kayed, Tristan Austin +8
Combinatorial optimization problems are central to many challenges in logistics, finance, engineering, and the life sciences, yet they remain among the most computationally demandi…
Universal Neural Network Based Calibration and Control of Programmable Classical and Quantum Photonic Integrated Processors
José Roberto Rausell-Campo, Daniele Melati, Bhavin Shastri +2
Efficient calibration and control of programmable photonic integrated circuits are fundamental for scaling quantum and classical optical computing processors. While neural network-…
Ising accelerator with a reconfigurable interferometric photonic processor
José Roberto Rausell-Campo, Nayem Al Kayed, Daniel Pérez-Lppez +3
The general-purpose programmable photonic processors offer a scalable and reconfigurable solution for a wide range of RF and optical applications. Therefore, implementing photonic…
Programmable 200 GOPS Hopfield-inspired photonic Ising machine
Nayem AL-Kayed, Charles St-Arnault, Hugh Morison +5
Ising machines offer a compelling approach to addressing NP-hard problems, but physical realizations that are simultaneously scalable, reconfigurable, fast, and stable remain elusi…
Fully analog end-to-end online training with real-time adaptibility on integrated photonic platform
Zhimu Guo, A. Aadhi, Adam N. McCaughan +4
Analog neuromorphic photonic processors are uniquely positioned to harness the ultrafast bandwidth and inherent parallelism of light, enabling scalability, on-chip integration and…
Compact, Large-Scale Photonic Neurons by Modulation-and-Weight Microring Resonators
Weipeng Zhang, Yuxin Wang, Joshua C. Lederman +2
Neuromorphic photonics promises sub-nanosecond latency, ultrawide bandwidth, and high parallelism, but practical scalability is constrained by fabrication tolerances, spectral alig…
Large-scale artificial intelligence with 41 million nanophotonic neurons on a metasurface
Mingcheng Luo, Meirui Jiang, Bhavin J. Shastri +8
Conventional integrated circuits (ICs) struggle to meet the escalating demands of artificial intelligence (AI). This has sparked a renewed interest in an unconventional computing p…
Photoluminescent colour centres on a mainstream silicon photonic foundry platform
Prosper Dellah Allo, A. Aadhi, Amirhossein Mosaddegh Yengejeh +5
The fabrication of silicon photonic components in commercial CMOS-compatible foundries has revolutionized the impact of silicon photonics on advancing communication, quantum comput…
Online training and pruning of multi-wavelength photonic neural networks
Jiawei Zhang, Weipeng Zhang, Tengji Xu +5
CMOS-compatible photonic integrated circuits (PICs) are emerging as a promising platform in artificial intelligence (AI) computing. Owing to the compact footprint of microring reso…
Fully integrated hybrid multimode-multiwavelength photonic processor with picosecond latency
Ahmed Khaled, A. Aadhi, Chaoran Huang +2
High-speed signal processing is essential for maximizing data throughput in emerging communication applications, like multiple-input multiple-output (MIMO) systems and radio-freque…
High-Speed Multifunctional Photonic Memory on a Foundry-Processed Photonic Platform
Sadra Rahimi Kari, Marcus Tamura, Zhimu Guo +9
The integration of computing with memory is essential for distributed, massively parallel, and adaptive architectures such as neural networks in artificial intelligence (AI). Accel…
Physics to System-level Modeling of Silicon-organic-hybrid Nanophotonic Devices
Maryam Moridsadat, Marcus Tamura, Lukas Chrostowski +2
The continuous growth in data volume has sparked interest in silicon-organic-hybrid nanophotonic devices integrated into silicon photonic integrated circuits (PICs). SOH devices of…
Control-free and efficient integrated photonic neural networks via hardware-aware training and pruning
Tengji Xu, Weipeng Zhang, Jiawei Zhang +8
Integrated photonic neural networks (PNNs) are at the forefront of AI computing, leveraging on light's unique properties, such as large bandwidth, low latency, and potentially low…
Reconfigurable quantum photonic circuits based on quantum dots
Adam McCaw, Jacob Ewaniuk, Bhavin J. Shastri +1
Quantum photonic integrated circuits, composed of linear-optical elements, offer an efficient way for encoding and processing quantum information on-chip. At their core, these circ…
120 GOPS Photonic Tensor Core in Thin-film Lithium Niobate for Inference and in-situ Training
Zhongjin Lin, Bhavin J. Shastri, Shangxuan Yu +27
Photonics offers a transformative approach to artificial intelligence (AI) and neuromorphic computing by enabling low-latency, high-speed, and energy-efficient computations. Howeve…
A system-on-chip microwave photonic processor solves dynamic RF interference in real time with picosecond latency
Weipeng Zhang, Joshua C. Lederman, Thomas Ferreira de Lima +6
Radio-frequency interference is a growing concern as wireless technology advances, with potentially life-threatening consequences like interference between radar altimeters and 5G…
Roadmapping the Next Generation of Silicon Photonics
Sudip Shekhar, Wim Bogaerts, Lukas Chrostowski +4
Silicon photonics has developed into a mainstream technology driven by advances in optical communications. The current generation has led to a proliferation of integrated photonic…
Interfacing spiking VCSEL-neurons with silicon photonics weight banks towards integrated neuromorphic photonic systems
Matěj Hejda, Eli A. Doris, Simon Bilodeau +5
Spiking neurons and neural networks constitute a fundamental building block for brain-inspired computing, which is posed to benefit significantly from photonic hardware implementat…
Multi-Wavelength Photonic Neuromorphic Computing for Intra and Inter-Channel Distortion Compensations in WDM Optical Communication Systems
Benshan Wang, Thomas Ferreira de Lima, Bhavin J Shastri +2
DSP (digital signal processing) has been widely applied in optical communication systems to mitigate signal distortions and has become one of the key technologies that have sustain…
Nanophotonic cavity based synapse for scalable photonic neural networks
Aashu Jha, Chaoran Huang, Thomas Ferriera deLima +3
The bandwidth and energy demands of neural networks has spurred tremendous interest in developing novel neuromorphic hardware, including photonic integrated circuits. Although an o…
Photonic spiking neural networks and CMOS-compatible graphene-on-silicon spiking neurons
Aashu Jha, Chaoran Huang, Hsuan-Tung Peng +2
Spiking neural networks are known to be superior over artificial neural networks for their computational power efficiency and noise robustness. The benefits of spiking coupled with…
Photonics for artificial intelligence and neuromorphic computing
Bhavin J. Shastri, Alexander N. Tait, Thomas Ferreira de Lima +4
Research in photonic computing has flourished due to the proliferation of optoelectronic components on photonic integration platforms. Photonic integrated circuits have enabled ult…
Dynamical laser spike processing
Bhavin J. Shastri, Mitchell A. Nahmias, Alexander N. Tait +3
Novel materials and devices in photonics have the potential to revolutionize optical information processing, beyond conventional binary-logic approaches. Laser systems offer a rich…
SIMPEL: Circuit model for photonic spike processing laser neurons
Bhavin J. Shastri, Mitchell A. Nahmias, Alexander N. Tait +2
We propose an equivalent circuit model for photonic spike processing laser neurons with an embedded saturable absorber---a simulation model for photonic excitable lasers (SIMPEL).…