Session Overview |
Thursday, May 30 |
15:10 |
Photonic Reservoir Computing: Principles, Architectures and Applications for Sensing and Information Processing
Gleb Anufriev, George Green Institute for Electromagnetics Research, University of Nottingham, United Kingdom David Furniss, George Green Institute for Electromagnetics Research, University of Nottingham, United Kingdom Mark Farries, George Green Institute for Electromagnetics Research, University of Nottingham, United Kingdom Angela B. Seddon, George Green Institute for Electromagnetics Research, University of Nottingham, United Kingdom Peter Bienstman, INTEC, Department of Information Technology, Photonics Research Group, University of Gent, Belgium * Sendy Phang, George Green Institute for Electromagnetics Research, University of Nottingham, United Kingdom This presentation will describe the fundamental working principles of Photonic Reservoir Computing. It will elaborate on various photonic systems that implement the PhRC scheme, emphasizing their structure and functionality. Additionally, the potential applications of PhRC in sensing and information processing systems will be both described and demonstrated. This overview aims to provide a understanding of PhRC's capabilities and its transformative potential in the field of information photonics. |
15:35 |
Integrated Devices for Monolithic Silicon Photonics (Invited Talk)
* Ahmed Abumazwed, CMC Microsystems, Canada Integrated devices for monolithic silicon photonics are presented. Compact echelle grating multiplexer operating in the O-band is designed then fabricated using the GlobalFoundries-45CLO process. The statistical analysis proves the device manufacturability, with a stable channel-center (standard deviation < 0.72nm) and low crosstalk (<-20dB over a 3dB-bandwidth). Additionally, two silicon nitride MMI couplers are designed, featuring minimal loss for monolithic silicon photonics, with measured insertion losses of 0.07 dB at 1310 nm and below 0.25 dB across the O-band. |
16:00 |
Enhancing Spatial Sampling Resolution using Multi-port Grating Couplers
* Md Abduhu Ruhul Fatin, McMaster University, Canada Rafael Kleiman, McMaster University, Canada In this paper, we introduce a multi-port grating coupler design aimed at enhancing the fill factor and overcoming routing limitations inherent in grating coupler arrays within photonic integrated circuits (PICs). Our proposed grating couplers, when tiled, offer a new approach to designing grating coupler arrays that more efficiently couple higher-order modes to a fundamental TE/TM mode. |
16:15 |
Hierarchy of methods for Laser Design and Compact Modeling in a Photonic Integrated Circuit Simulator
* Bozidar Novakovic, Ansys, Canada Ahmed Gabr, Ansys Parya Samadian, Ansys We review the present status and future potential of photonic integrated circuit (PIC) simulation technology as a platform for laser design and simulation. The role of a PIC simulator is two-fold: first, it provides calibrated laser compact models for circuit designers, and second, it provides physical laser simulation for laser designers. This is made possible by laser models with different trade-offs between accuracy and efficiency. On the one hand, the characteristics of the laser output have a significant impact on the performance of a PIC. On the other hand, lasers are complicated devices requiring sophisticated physical simulation methods to help design their characteristics on the physical level. We will discuss how a PIC simulator is used to achieve both goals. |
16:30 |
Seeding Gaussian boson samplers with single photons for enhanced state generation
* Valerio Crescimanna, University of Ottawa, Canada Aaron Goldberg, University of Ottawa, Canada Khabat Heshami, University of Ottawa, Canada Usually, generation of non-Gaussian states involves tradeoffs between success probability and quality of the resultant state. For example, injecting squeezed light into a multimode interferometer and postselecting on certain patterns of photon-number outputs in all but one mode can herald the creation of these states. We consider the addition of a non-Gaussian resource state, particularly single photons to this configuration, and show how it improves the qualities and generation probabilities of desired states. |