Inference in artificial intelligence with deep optics and photonics

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Optical nonlinearities are crucial for advanced photonic technologies since they allow photons to be managed by photons. Exciton-polaritons resulting from strong light-matter coupling are hybrid in nature: they combine the small mass and high coherence of ...

Wavefront shaping methods by spatial light modulators, have been an invaluable tool for a plethora of applications in photonics of complex media [1]. In fact in a series of ground-breaking experiments, reverse propagation by phase conjugation was used to c ...

Deep learning has brought incredible progress in areas where traditional algorithms struggle. It can be because they need rules that are sometimes hard to conceptualize, it can also be that the number and manner of combining these rules are too complex to ...

Photonic integrated circuits are paving the way for novel on-chip functionalities with diverse applications in communication, computing, and beyond. The integration of on-chip light sources, especially single-mode lasers, is crucial for advancing those pho ...

This talk will highlight opportunities for terahertz science and technology from nonlinear integrated photonic circuits by exploring waveguides, resonators and terahertz antennas. Their present and future applications in metrology, emission and waveform co ...

Since the discovery of dissipative Kerr solitons in optical microresonators, significant progress has been made in the understanding of the underlying physical principles from the fundamental side and generation of broadband coherent optical Kerr frequency ...

Photonics integrated circuits are a promising solution for the growing demands of data transmission and future system-on-chip technologies. Within this context, nonlinear optical interactions offer unique opportunities for all-optical processing, sampling, ...

The optical domain presents potential avenues for enhancing both computing and communication due to its inherent properties of bandwidth, parallelism, and energy efficiency. This research focuses on harnessing 3-Dimensional (3D) diffractive optics for nove ...

Nonlinear epsilon-near-zero (ENZ) nanodevices featuring vanishing permittivity and CMOS-compatibility are attractive solutions for large-scale-integrated systems-on-chips. Such confined systems with unavoidable heat generation impose critical challenges fo ...

Recent advancements in deep learning have found compelling applications in the image-based inspection of infrastructure systems. However, the efficacy of these models hinges significantly on the quality and diversity of the input data used for training. In ...

The desire and ability to place AI-enabled applications on the edge has grown significantly in recent years. However, the compute-, area-, and power-constrained nature of edge devices are stressed by the needs of the AI-enabled applications, due to a gener ...

Keeping up with our constantly connected lifestyle of instant messages and video streaming has its repercussions. Data centers have been gobbling up resources becoming a significant share of the energy used worldwide. To keep up with demand and curb the en ...

Quantum optics studies how photons interact with other forms of matter, the understanding of which was crucial for the development of quantum mechanics as a whole. Starting from the photoelectric effect, the quantum property of light has led to the develop ...

We demonstrate a process for hydrogen-free low-loss silicon oxide (SiO2) films deposited using S iCl4 and O 2 as precursors. A wide low-loss window from 1260 nm to 1625 nm is achieved at a deposition temperature of 300 ◦C, essential for next generation pho ...

Silicon photonics has emerged as a mature technology that is expected to play a key role in critical emerging applications, including very high data rate optical communications, distance sensing for autonomous vehicles, photonic-accelerated computing, and ...

Topographical disorientation refers to the selective inability to orient oneself in familiar surroundings. However, to date its neural correlates remain poorly understood. Here we use quantitative lesion analysis and a lesion network mapping approach in or ...

Stoichiometric silicon nitride is a highly regarded platform for its favorable attributes, such as low propagation loss and compatibility with complementary metal-oxide-semiconductor technology, making it a prominent choice for various linear and nonlinear ...

Full wavefront control by photonic components requires that the spatial phase modulation on an incoming optical beam ranges from 0 to 2 pi. Because of their radiative coupling to the environment, all optical components are intrinsically non-Hermitian syste ...

In this thesis work, we propose to exploit an innovative micro/nano-fabrication process, based on controlled fluid instabilities of a thin viscous film of chalcogenide glass. Amorphous selenium and arsenic triselenide were used in this thesis work, and com ...

Photonic integrated circuits (PICs) are the subject of massive interest due to the range of applications they can provide at a huge scale while building on well-established CMOS technologies. One of the critical parameters defining a technology's maturity ...

Inference in artificial intelligence with deep optics and photonics

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Room-Temperature Exciton-Polariton-Driven Self-Phase Modulation in Planar Perovskite Waveguides

Focusing Based on Singular Eigenstates in Non-Hermitian Systems

Extending Capabilities of Attention-based Models

Single-Mode Laser in the Telecom Range by Deterministic Amplification of the Topological Interface Mode

Hybrid silicon photonics for terahertz applications

Emergent nonlinear dynamics in photonic lattices

Parametric Wavelength Conversion in Waveguiding Structures: Efficiency, Bandwidth and Polarization

3D diffractive optics for linear interconnects and nonlinear processing

Thermo-optic epsilon-near-zero effects

Uncertainty quantification for a deep learning models for image-based crack segmentation

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Domain Imaging and Switching Dynamics in BaTiO3-Based Photonic Integrated Devices

Room-Temperature Quantum Optomechanics and Free-Electron Quantum Optics

Low-temperature and hydrogen-free silicon dioxide cladding for next-generation integrated photonics

Integrated silicon photonic MEMS

The neural correlates of topographical disorientation-a lesion analysis study

Silicon nitride electric-field poled microresonator modulator

Crossing of the Branch Cut: The Topological Origin of a Universal 2 pi-Phase Retardation in Non-Hermitian Metasurfaces

All-Dielectric Nanophotonic via Glass Fluid Instabilities

Linear and nonlinear applications of miniaturized silicon nitride microresonators