Organizers

The Hong Kong Polytechnic University

Sponsors


The Optical Society of America IEEE Photonics Society

Online platform

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Notes

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Plenary Speakers


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Xiang Liu, Futurewei Technologies

Talk title: Advances in Optical Communication Systems and Networks in the 5G Era
July 4, 9:00 - 9:45

The 5G era has witnessed great advances in optical communication systems and networks to not only enable the widespread deployment of mobile networks but also complement them to jointly meet the ever-increasing communication demands. In this plenary talk, we will highlight some of these advances, including high-throughput mobile front-haul, bandwidth-efficient digital-analog radio-over-fiber (DA-RoF), point-to-multipoint (P2MP) coherent transmission, 100-Tb/-class electrical cross-connect (EXC) in data centers, 1-Pb/s-class optical cross-connect (OXC) in backbone networks, high-capacity long-haul transmission with probabilistic constellation shaping (PCS) and super C+L band amplification, low-latency 50-Gb/s passive optical network (50G-PON), and service-enabling optical transport network (OTN) capable of guaranteed network slicing with fine granularity. The vision and new use cases of the 5th generation fixed network (F5G) will also be presented, showing the key role that it will play in the realization of a fully connected, intelligent world for the benefit of our global society in the exciting 5G era.

Yasuhiko Arakawa, University of Tokyo

Talk title: Quantum Dot Lasers for Advanced Photonics Technology
July 4, 9:45 - 10:35

Since the first proposal of semiconductor quantum dots by Arakawa et al. in 1982, quantum dots have been intensively studied in both fundamental solid-state physics and device applications. In particular, quantum dot lasers are the first practical quantum mechanical devices that utilize the complete discrete energy nature of electrons. About one million chips are currently shipped to the market every year. Furthermore, quantum dots are evolving as nanostructures that enable control of electrons, photons, spins, and phonons, and are developed for computing technologies based on qubits, as well as solar cells, displays, and biomarkers. In this talk, we introduce the development status of quantum dot lasers from their early days to practical applications. Quantum lasers are characterized by the temperature stability of the threshold current and zero linewidth enhancement factor, due to quantum mechanical effects. Because of these features, quantum lasers are promising devices also in silicon photonics, and are applied not only to low-power transceiver chips for optical fiber links in data centers, but also to co-packaged photonic I/Os that require light sources operating at high temperature near LSI chips. Quantum dot lasers will be one of the most important key devices in future photonic and electronic convergence systems. Finally, recent progress in quantum dot photonics is briefly discussed, including single photon sources which are important for quantum computation and quantum cryptography.

David Richardson, University of Southampton

Talk title: Emerging New Fibre Technologies for Communication and Laser Applications
July 5, 8:15 - 9:00

Fears of a potential communications future communications capacity crunch surfaced in the late 2000’s and generated significant interest in the exploration and development of radically new optical fibers and amplifiers with the potential to offer lower costs-per-bit and higher data throughput than conventional single-mode silica fiber solutions - much R&D followed across the globe. In this talk I review the progress made over the past decade and briefly outline the current commercial status of some of the most promising technologies identified.

Paul Prucnal, Princeton University

Talk title: The Latest Development in Optical Signal Processing and AI/Optical Chips
July 5, 9:00 - 9:45

Artificial intelligence enabled by neural networks has enabled applications in many fields (e.g. medicine, finance, autonomous vehicles). Software implementations of neural networks on conventional computers are limited in speed and energy efficiency. Neuromorphic engineering aims to build processors in which hardware mimic neurons and synapses in brain for distributed and parallel processing. Neuromorphic engineering enabled by silicon photonics can offer sub nanosecond latencies, and can extend the domain of artificial intelligence and neuromorphic computing applications to machine learning acceleration (vector-matrix multiplications, inference and ultrafast training), nonlinear programming (nonlinear optimization problem and differential equation solving) and intelligent signal processing (wideband RF and fiber-optic communications). We will discuss current progress and challenges of neuromorphic photonic systems.

Jianwei Pan, University of Science and Technology of China

Talk title: From Multi-photon Entanglement to Quantum Computing Advantage
July 5, 9:45 - 10:30

Photons, the fast flying qubits which can be controlled with high precision using linear optics and have weak interaction with environment, are the natural candidate for quantum communications. By developing a quantum science satellite Micius and exploiting the negligible decoherence and photon loss in the out space, practically secure quantum cryptography, entanglement distribution, and quantum teleportation have been achieved over thousand kilometer scale, laying the foundation for future global quantum internet. Surprisingly, despite the extremely weak optical nonlinearity at single-photon level, an effective interaction between independent indistinguishable photons can be effectively induced by a multi-photon interferometry, which allowed the first creation of multi-particle entanglement and test of Einstein’s local realism in the most extreme way. By developing high-performance quantum light sources, the multi-photon interference has been scaled up to implement boson sampling with up to 76 photons out of a 100-mode interferometer, which yields a Hilbert state space dimension of 1030 and a rate that is 1014 faster than using the state-of-the-art simulation strategy on supercomputers. Such a demonstration of quantum computational advantage is a much-anticipated milestone for quantum computing. The special-purpose photonic platform will be further used to investigate practical applications linked to the Gaussian boson sampling, such as graph optimization and quantum machine learning.