Photonics in Switching and Computing

27 September 2021 – 29 September 2021 OSA Virtual Event - Eastern Time (US & Canada) (UTC - 05:00)

Photonics in Switching and Computing highlights the latest research activities in areas related to "Photonics in Switching" and to “Photonics in Computing”. This year's conference will highlight the synergy between photonic technologies, systems and computing/networking architectures.

Research topics include optical computing, photonic neuromorphic computing, optical switching technologies for dense integration of photonic and electronic functionalities operating side-by-side; various aspects of photonics in computing systems such as photonics for AI and quantum photonics; optical subsystem technologies and architectures for 5G networks and beyond, and inter- and intra-datacenter interconnects; and optical networking and computing architectures including short-reach optical interconnects, optical packet/burst switching routers, rapidly reconfigurable networks, and next-generation protocols and architectures.

Topics

Photonic Technologies for Computing, Switching and Interconnects
  • Photonic-Electronic Integrated Circuits
  • Photonic Switching and Routing Technologies
  • Nanophotonic Lasers, Quantum-Scale Light Sources
  • Optical Frequency Combs
  • Optical signal processing, modulation, coding/decoding and compensation/error correction techniques for advanced photonic switching functionality
  • Microwave photonics devices and building blocks
  • Optical cross-connects and reconfigurable optical add-drop mux/demux
  • Nanophotonic metamaterials and devices for switching and routing
  • On-chip integration of photonic switching and control and logic electronics
  • Modelling, design, implementation, impairment mitigation, algorithms for advanced switching functionality
  • 2D and 3D MEMS/LCOS switches including wavelength selective switches
  • SDM technologies for photonic switching and networking
  • Optical switches for space/mode division multiplexing
  • Mode division multiplexing (MDM) technologies and devices
  • Silicon photonic switching technologies using monolithic and heterogeneous integration
  • All-optical, electronic, and hybrid-optoelectronic technologies for switching
  • Photonic enabling technologies and devices for quantum communications
  • Devices and packaging for space applications and other hostile environments
  • Optoelectronic- and all-optical signal regeneration, impairment compensation, and performance monitoring
  • Burst switching compatible transceiver technology
Photonics in Computing Systems and Deep Learning Applications
  • Neuromorphic Computing Systems
  • Photonic Computing Systems
  • Photonic Accelerators, Photonic Matrix Multipliers
  • Photonic-Electronic Computing Systems
  • Photonics in Data Centers and High Performance Computing
  • Photonics in Processors
  • Photonics in Memory
  • Photonic GPUs, TPUs, and CPUs
  • Photonic-Electronic Co-Integration and Packaging
  • Photonic Switching Systems, Reconfigurable optical add-drop multiplexers/demultiplexers
  • Optical grooming and aggregation techniques
  • Photonic circuit, packet, label, and burst switching systems and sub-systems
  • Optical cross-connects architectures
  • Optical time domain multiplexed systems
  • Optical multiple access systems (WDMA, TDMA, and CDMA)
  • MDM-based switching networks
  • Parallel data links and space division multiplexing
  • Rapidly reconfigurable networks and data centers
  • Optical interconnects for high-density and large-scale switching technologies
Photonics in Computing Networks, Architectures, Control, and Management
  • Software defined networking and control plane integration for photonic switching systems
  • Optical networking for multi-access edge computing, intra/inter-datacenters, and high-performance computing
  • Reconfigurable and programmable optical fabric architectures for computing and data systems
  • Optical network testbeds and field trials
  • Energy efficient switching and reconfigurable network architectures
  • Optical circuit-, burst-, slot-, packet switched networks
  • Optical network control and management
  • Application-aware and service-oriented architectures
  • Benchmarking photonics in computing systems
  • Physical impairment aware switched-network architectures and algorithms
  • Physical layer design and control
  • Packet-optical architectures and multi-layer optimization
  • Switching systems, architectures, and network integrations
  • Co-design of processing, memory, and photonic interconnects
  • Photonic neural networks
  • Photonics in learning and artificial intelligence
  • Training and inference algorithms for photonic computing systems
  • Testbed demonstrations of photonics in computing
  • Optical access and aggregation networks
  • Converged mobile and optical networks

Invited Speakers

  • Stephen Furber, University of ManchesterUnited Kingdom
    Neuromorphic Computing Plenary
  • Hong Liu, Google LLCUnited States
    The Evolving Role of Optics in the Hyperscale Data Centers  Plenary
  • Masaya Notomi, Tokyo Institute of TechnologyJapan
    Attojoule Nanophotonics Towards Optoelectronic Accelerators Plenary
  • Stefan Abel, LumiphaseSwitzerland
    Pockels-enhanced Ultra-efficient Silicon Photonics  Keynote
  • Juan Miguel Arrazola, Xanadu Quantum ComputingCanada
    Photonic Quantum Computing at Xanadu  Keynote
  • Fumio Koyama, Tokyo Institute of TechnologyJapan
    Transverse Coupled Cavity VCSEL Array for CPO Applications  Keynote
  • Nicholas New, Optalysys Ltd.United Kingdom
    The Dawn of Energy Efficient Computing: Optically Accelerating the Fast Fourier Transform Core  Keynote
  • Bhavin Shastri, Queen's University at KingstonCanada
    Photonics for Artificial Intelligence and Neuromorphic Computing Keynote
  • Volker Sorger, George Washington UniversityUnited States
    Photonic Machine Intelligence Hardware: From Photonic Memory and Photonic TPU to Optical CNN Keynote
  • Nicola Andriolli, Consiglio Nazionale delle RicercheItaly
    Photonic Integrated Neural Network Accelerators
  • Piotr Antonik, CentraleSupélecFrance
    Human Action Recognition with Photonic Reservoir Computing
  • Farshid Ashtiani, University of PennsylvaniaUnited States
    Photonic-electronic Co-design: From Optical Phase Control to Signal Processing
  • Keren Bergman, Columbia UniversityUnited States
    Energy Efficient Multi-terabit Photonic Connectivity for Disaggregated Computing
  • Peter Bienstman, Ghent University, INTECBelgium
    Reservoir Computing for High-speed Photonic Information Processing
  • Adonis Bogris, University of West AtticaGreece
    Neuromorphic Integrated Photonics as Hardware Accelerators for Ultra-high Speed Telecom and Imaging Applications
  • Hugo Cable, PsiQuantumUnited States
    Switch Networks for Photonic Fusion-based Quantum Computing
  • Zizheng Cao, Technische Universiteit EindhovenNetherlands
    Non-line-of-sight Beam-steerable Infrared Wireless Communication
  • Jose Capmany, Universitat Politècnica de ValènciaSpain
    Integrated Photonic Analog Computing: Principles and Technologies
  • Haoshuo Chen, Nokia Bell LabsUnited States
    Phase Retrieval Receiver for Optical Coherent Communications
  • Xi Chen, Nokia Bell LabsUnited States
    High Capacity Short-reach Systems
  • Qixiang Cheng, University of CambridgeUnited Kingdom
    Towards a Photonic Integrated Linear Algebra Processor for Complex Matrix Multiplication and Inversion
  • Claudio Conti, Univ degli Studi di Roma La SapienzaItaly
    The Spatial Photonic Ising Machine and the Extreme Learning Machine
  • Alfredo De Rossi, Thales Research & TechnologyFrance
    Analog Computing with Nonlinear Nanoscale Photonics: Prospects and Challenges
  • Camille Delezoide, Nokia Bell LabsFrance
    Optical Network Testbeds and Field Trials for Designing Low-margin Optical Networks
  • Eleni Diamanti, CNRSFrance
    Demonstrating Quantum Advantage with Practical Photonic Systems
  • Dirk Englund, Massachusetts Institute of TechnologyUnited States
    Optical Accelerators for Machine Learning : How to Control Errors in Analog Inference Machines
  • Andrei Faraon, California Institute of TechnologyUnited States
    Dynamically Tunable Metasurfaces Using Nano Electro Mechanics
  • Mable Fok, University of GeorgiaUnited States
    Adaptive and Dynamic RF Systems Enabled by Bio-Inspired Photonics and Microwave Photonics
  • Nicolas Fontaine, Nokia Bell LabsUnited States
    Towards Spatial Mode Multiplexing with 1000s Of Modes
  • Marija Furdek, Chalmers Tekniska HögskolaSweden
    Autonomous Optical Network Security Management – Breakthroughs and Challenges
  • Frederic Gardes, University of SouthamptonUnited Kingdom
    Programmability Strategies for Materials and Optical Components Using Mid Index Waveguides
  • Alberto Gatto, Politecnico di MilanoItaly
    Quantum Technologies for Future Quantum Optical Networks
  • Madeleine Glick, Columbia UniversityUnited States
    Photonic Integrated Networked Energy Efficient Datacenters (PINE): System Studies
  • Nicholas Harris, LightmatterUnited States
    Silicon Photonics for Deep Learning
  • Chaoran Huang, Chinese University of Hong KongHong Kong
    Programmable Optical Nonlinearity for Neuromorphic Photonics
  • Takahiro Inagaki, NTT Basic Research LaboratoriesJapan
    Photonic Spiking Neuron with Coupled Degenerate Optical Parametric Oscillators
  • Masahiko Jinno, Kagawa UniversityJapan
    Spatial Add/Drop Multiplexer and Cross-connect Architectures (Prototypes and Testbed) For Spatial Channel Networks and Pb/S Optical Transport
  • Ruben Luis, National Inst of Information & Comm TechJapan
    Experimental Measurement of Time-varying Inter-core Crosstalk in Weakly Coupled Multi-core Fibers
  • Peter McMahon, Cornell UniversityUnited States
    Photonic Neural Networks Using Linear and Nonlinear Optics
  • Antonio Mecozzi, Universita degli Studi dell'AquilaItaly
    Space-division Multiplexed Transmission In Multi-mode And Multi-core Fibers
  • David Moss, Swinburne University of TechnologyAustralia
    Tera-ops Neuromorphic Processing with Kerr Microcombs
  • Raul Muñoz, Ctr Tecnològic de Telecom de CatalunyaSpain
    SDN Control Architectures for WDM over SDM (WDMoSDM) Networks
  • Shu Namiki, Natl Inst of Adv Industrial Sci & TechJapan
    Automation of Optical Layer Switching for Converged Compute and Network
  • Mahdi Nikdast, Colorado State UniversityUnited States
    Inexact Silicon Photonics: From Devices to Applications
  • Paola Parolari, Politecnico di MilanoItaly
    SOA-based Loss-less Switch Nodes For Tb/S Multicarrier Transmission
  • Daniel Perez, Universitat Politècnica de ValènciaSpain
    Auto-configuration of Programmable Photonic Circuits
  • Jelmer Renema, QuiX Quantum B.V.Netherlands
    Integrated Photonic Processors for Quantum Computing
  • Marco Ruffini, University of Dublin Trinity CollegeIreland
    Improving Optical Control Plane Research and Development through Synergetic Testbed Experimentation and Emulation
  • Valeria Saggio, University of ViennaAustria
    Quantum-enhanced Reinforcement Learning
  • Nicola Sambo, Scuola Superiore Sant Anna di PisaItaly
    Mode Group Division Multiplexing: Transmission, Node Architecture, and Provisioning
  • Ken-ichi Sato, Nagoya UniversityJapan
    How to Create Simple Control Mechanism with Low Latency for Intra Data Center Optical Switching Networks
  • M. Ashkan Seyedi, Hewlett Packard EnterpriseUnited States
    Novel Interconnects for HPC Systems
  • Chester C.T. Shu, Chinese University of Hong KongHong Kong
    Temporal Optical Signal Processing
  • Eric Sillekens, University College London - Dpt E&EEUnited Kingdom
    Ultra-wideband Nonlinear Optical Fibre Transmission Systems
  • Maria Spyropoulou, National Technical University of AthensGreece
    Twilight Project: 1.6 Tb/S Transceivers and Optical Switching in IMOS Technology
  • Ripalta Stabile, Technische Universiteit EindhovenNetherlands
    All-optical Neural Networks Via SOA-based Photonics Integrated Cross-Connects
  • Massimo Tornatore, Politecnico di MilanoItaly
    Cross-Layer Design to Optimize Optical Amplifier Placement in Metro Networks
  • Bassem Tossoun, Hewlett Packard EnterpriseUnited States
    Memristor Photonics
  • Angelina R. Totovic, Aristotle University of ThessalonikiGreece
    On-Chip > 100 TMAC/Sec Neuromorphic Photonics Turning into Reality
  • Anna Tzanakaki, University of AthensGreece
    Optical Networking in Support of User Plane Functions in 5G Systems and Beyond
  • Michael Vasilyev, University of Texas at ArlingtonUnited States
    Spatial-mode-selective Frequency Conversion
  • Jelena Vuckovic, Stanford UniversityUnited States
    Inverse Design of Integrated Photonics
  • Chongjin Xie, Alibaba GroupUnited States
    Optical Technologies for Tbps Datacenter Networks
  • Han-sen Zhong, Univ of Science and Technology of ChinaChina
    Photonic Quantum Information Processing
  • Zuqing Zhu, Univ of Science and Technology of ChinaChina
    DRL-assisted Light-tree Reconfiguration for Dynamic Multicast in Elastic Optical Networks

Committee

Wim Bogaerts, Ghent University, Belgium, Chair
Ken Morito, Fujitsu, Japan, Chair
S.J. Ben Yoo, University of California, Davis, USA, Chair
Marco Fiorentino, Hewlett Packard Enterprise, USA, Program Chair
Kiyo Ishii, AIST, Japan, Program Chair
Bert Offrein, IBM, Switzerland, Program Chair

Subcommittee 1: Photonic Technologies for Computing, Switching, and Interconnects
Marco Fiorentino, Hewlett Packard Enterprise, USA, Subcommittee Chair
Pierpaolo Boffi, Politecnico di Milano, Italy
Nicola Calabretta, Technische Universiteit Eindhoven, Netherlands
Jiajia Chen, Chalmers Tekniska Högskola, Sweden
Giampiero Contestabile, Scuola Superior Sant Anna di Pisa, Italy
Takashi Inoue, AIST, Japan
M. Saif Islam, University of California, Davis, USA
Takahiro Kodama, Kagawa University, Japan
Shiva Kumar, McMaster University, Canada
Caroline Lai, Rockley Photonics, USA
Guifang Li, University of Central Florida, USA
Motoharu Matsuura, University of Electro-Communications, Japan
Robert Norwood, University of Arizona, USA
Stylianos Sygletos, Aston University, UK
Takuo Tanemura, University of Tokyo, Japan
Yaoyao Ye, Shanghai Jiao Tong University, China
John Xiupu Zhang, Concordia University, Canada

Subcommittee 2: Photonics in Computing Systems and Deep Learning Applications
Bert Offrein, IBM, Switzerland, Subcommittee Chair
Alexandra Boltasseva, Purdue University, USA
Lukas Chrostowski, University of British Columbia, Canada
Eleni Diamanti, UPMC, France
Madeleine Glick, Columbia University, USA
Thomas Van Vaerenbergh, HP Labs, USA
Patty Stabile Technische Universiteit Eindhoven, Netherlands
Laurent Daudet, LightOn, France
Nikos Pleros, Aristotle University of Thessaloniki, Greece
Daniel Perez, iPRONICS, Spain
Jean Benoit Heroux, IBM, Japan

Subcommittee 3: Photonics in Computing Networks, Architectures, Control, and Management
Kiyo Ishii, AIST, Japan, Subcommittee Chair
Isabella Cerutti, Joint Research Centre, Italy
Xiaoliang Chen, Sun Yat Sen Univ, China
Mable Fok, University of Georgia, USA
Shinsuke Fujisawa, NEC Corporation, Japan
Ivana Gasulla, Universitat Politècnica de València, Spain
Tetsuya Kawanishi, Waseda University, Japan
Odile Liboiron-Ladouceur, McGill University, Canada
Roberto Proietti, UC Davis, United States
Michela Svaluto Moreolo, Center Tecnològic de Telecom de Catalunya, Spain
Chris Tracy, Energy Sciences Network (ESnet), USA
Cen Wang, KDDI Research, Inc., Japan
Lena Wosinska, Kungliga Tekniska Hogskolan, Sweden
Qiong Zhang, Fujitsu Network Communications, USA
Jiang Xu, Hong Kong University of Science & Technology, Hong Kong
Sugang Xu, NICT, Japan
Thierry Zami, Nokia, France
George Zervas, University College London, UK


Plenary Speakers

Stephen Furber

The University of Manchester

Neuromorphic Computing

Neuromorphic computing, that is, computing based upon brain-like principles - can be traced back to the pioneering work of Carver Mead in the 1980s. Academic research into neuromorphic systems has continued since then in various forms, including analog, digital and hybrid systems, primarily with the objective of improving understanding of information processing in the brain. More recently, industrial neuromorphic systems have emerged - first the IBM TrueNorth, and then the Intel Loihi - with a greater focus on practical applications. In parallel, the last decade has seen an explosion of interest in less brain-like, though still brain-inspired, artificial neural networks in machine learning applications that have, for example, placed high-quality speech recognition systems into everyday consumer use. However, these artificial neural networks consume significant computer and electrical power, particularly during training, and there is strong interest in bringing these requirements down and in enabling continuous on-line learning to take place in self-contained, mobile configurations. There is a growing expectation, so far unsubstantiated by compelling evidence, that neuromorphic technologies will have a role to play in delivering these efficiency gains. The SpiNNaker (Spiking Neural Network Architecture) platform is an example of a highly flexible digital neuromorphic platform, based upon a massively-parallel configuration of small processors with a bespoke interconnect fabric designed to support the very high connectivity of biological neural nets in real-time models. Although designed primarily to support brain science, it can also be used to explore more applications-oriented research.

About the Speaker

 

Steve Furber CBE FRS FREng is ICL Professor of Computer Engineering in the Department of Computer Science at the University of Manchester, UK. After completing a BA in mathematics and a PhD in aerodynamics at the University of Cambridge, UK, he spent the 1980s at Acorn Computers, where he was a principal designer of the BBC Microcomputer and the ARM 32-bit RISC microprocessor. Over 180 billion variants of the ARM processor have since been manufactured, powering much of the world's mobile and embedded computing. He moved to the ICL Chair at Manchester in 1990 where he leads research into asynchronous and low-power systems and, more recently, neural systems engineering, where the SpiNNaker project has delivered a computer incorporating a million ARM processors optimised for brain modelling applications.

Hong Liu

Google

The Evolving Role of Optics in the Hyperscale Data Centers

The optical layer has evolved and expanded rapidly to significantly shape and differentiate compute infrastructure. To support the staggering growth of bandwidth for networking and machine learning, optical technology remains as the critical driver.  We will present an overview and future roadmap of data center optics, including the need and challenge with tighter integration of optics and electronics.  

About the Speaker

Hong Liu is currently a Distinguished Engineer with Google Technical Infrastructure, where she is involved in the system architecture and optical solutions for a large-scale computing platform. She received the Ph.D. degree in electrical engineering from Stanford University, Stanford, CA, USA. Her research interests include interconnection networks, high-speed signaling, optical access, and metro design. Prior to joining Google, she was a Member of Technical Staff with Juniper Networks, where she worked on the architecture and design of network core routers and multichassis switches. She is an OSA Fellow.

Masaya Notomi

NTT Basic Research Laboratories

Attojoule Nanophotonics Towards Optoelectronic Accelerators

Recent advances of integrated nanophotonics achieved ultrasmall consumption energy of various photonic devices; paving the way to photonic circuitry in a processor chip. Ultrasmall capacitance of nanophotonic devices lead to dramatic improvement in OE/EO conversion efficiency, indicating a paradigm shift in a role of photonics inside a chip. The possible impact for optoelectronic accelerators based on these technologies will also be discussed.

About the Speaker

Masaya Notomi received B.E., M.E. and Ph.D. degrees in applied physics from the University of Tokyo in 1986, 1988, and 1997. He has been working on physics and applications of nanophotonics, including photonic crystals and plasmonics. His work involves novel phenomena arising from nanophotonic structures, enhancement of light-matter interactions, and applications for integrated optoelectronic computations. He is currently Senior Distinguished Scientist of NTT Basic Research Laboratories, NTT Corporation, Japan and heading NTT Nanophotonics Center. Since 2017, he has been cross-appointed as a professor in Department of Physics, Tokyo Institute of Technology, Japan. He is also an IEEE Fellow.

Jeremy O'Brien

PsiQuantum

Leveraging Advanced Semiconductor Manufacturing Processes to Build the World’s First Useful Quantum Computer

It is increasingly accepted that all commercially valuable quantum computing applications require error-correction and therefore at least 1 million physical qubits to do anything useful. The manufacturing capability and expertise of the semiconductor industry is needed to deliver a commercially viable quantum computer on any reasonable time or money scale. In this talk, we will show how unique technology in the areas of silicon photonics and quantum system architecture enable the path to manufacturability and scalability of a fault-tolerant, general-purpose quantum computer.

About the Speaker

Jeremy O'Brien is co-founder and CEO of PsiQuantum. PsiQuantum is building a large-scale general-purpose silicon photonic quantum computer to solve the many important problems that will forever be beyond the capabilities of any conventional computer. Prior to founding the company, Jeremy was Professor of Physics and Electrical Engineering at Stanford and Bristol Universities, and Director of the Centre for Quantum Photonics. He has spent more than 20 years working towards scalable quantum computing, including: micro-, nano- and atomic-scale design, fabrication and operation of superconducting and semiconductor devices; design, construction and operation of cryogenic and ultra-high vacuum systems; design, construction and application of low-noise electrical measurement to organic-, super- and semi-conductor (nano)structures; and the theory of quantum computin


Special Events

Meet Plenary Speaker Hong Liu

Monday, 27 September 13:00 – 13:30

Join your colleagues for a meet-and-greet and discussion with Plenary Speaker Hong Liu.

Meet Plenary Speakers Masaya Notomi and Stephen Furber

Tuesday, 28 September 10:30 – 11:00

Join your colleagues for a meet-and-greet and discussion with Plenary Speakers Masaya Notomi. and Stephen Furber.