A5013645908- Neural Networks and Reservoir Computing
- Photonic and Optical Devices
- Optical Network Technologies
- Semiconductor Lasers and Optical Devices
- Nonlinear Dynamics and Pattern Formation
- Neural Networks and Applications
- Advanced Memory and Neural Computing
- Nonlinear Optical Materials Studies
- Neural dynamics and brain function
- Photonic Crystals and Applications
- Semiconductor Quantum Structures and Devices
- Advanced Fiber Laser Technologies
- Quantum optics and atomic interactions
- Quantum Information and Cryptography
- Complex Systems and Time Series Analysis
- Chaos control and synchronization
- Optical Polarization and Ellipsometry
- Advanced Photonic Communication Systems
- Reservoir Engineering and Simulation Methods
- Photoreceptor and optogenetics research
- Optical Coherence Tomography Applications
- Laser Material Processing Techniques
- Slime Mold and Myxomycetes Research
- Nanofabrication and Lithography Techniques
- Advanced Optical Sensing Technologies
University of Strathclyde
2023-2024
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies
2019-2023
Université Bourgogne Franche-Comté
2019-2023
Centre National de la Recherche Scientifique
2019-2023
Université de franche-comté
2023
Institute for Cross-Disciplinary Physics and Complex Systems
2011-2022
Universitat de les Illes Balears
2011-2022
Technische Universität Berlin
2017-2019
Consejo Superior de Investigaciones Científicas
2011-2014
Photonic waveguides are prime candidates for integrated and parallel photonic interconnects. Such interconnects correspond to large-scale vector matrix products, which at the heart of neural network computation. However, interconnect circuits realized in two dimensions, example, by lithography, strongly limited size due disadvantageous scaling. We use three-dimensional (3D) printed overcome this limitation. 3D optical couplers with fractal topology efficiently connect large numbers input...
Photonic realizations of neural network computing hardware are a promising approach to enable future scalability neuromorphic computing. The number special purpose and photonics has accelerated on such scale that one can now speak Cambrian explosion. Work along these lines includes (i) high performance for artificial neurons, (ii) the efficient scalable implementation network’s connections, (iii) strategies adjust connections during learning phase. In this review we provide an overview...
We propose single-step additive fabrication of graded-index optical elements by introducing the light exposure as additional dimension to three-dimensional (3D) laser writing, hence (3+1)D writing. use a commercial printer and photoresist realize proposed single step method that can be swiftly adopted for research engineering. After presenting characterization profiles via basic structures, we demonstrate two different devices: volume holograms are superimposed using angular peristrophic...
Abstract Neural networks are one of the disruptive computing concepts our time. However, they fundamentally differ from classical, algorithmic computing. These differences result in equally fundamental, severe and relevant challenges for neural network using current substrates. urge parallelism across entire processor a co-location memory arithmetic, i.e. beyond von Neumann architectures. Parallelism particular made photonics highly promising platform, yet until now scalable integratable...
Neural networks are currently transforming the field of computer algorithms, yet their emulation on current computing substrates is highly inefficient. Reservoir was successfully implemented a large variety and gave new insight in overcoming this implementation bottleneck. Despite its success, approach lags behind state art deep learning. We therefore extend time-delay reservoirs to demonstrate that these conceptually correspond convolutional neural networks. Convolution intrinsically...
Photonic waveguides are promising candidates for implementing parallel, ultra-fast and ultra-low latency interconnects. Such interconnects an important technological asset example next generation optical routing, on intra-chip communication, parallel photonic neural networks. We have recently demonstrated dense integration of multi-mode based 3D additive manufacturing using two-photon-polymerization. The basis such splitters, here we characterize their performance against splitting ratio,...
We experimentally demonstrate a key exchange cryptosystem based on the phenomenon of identical chaos synchronization. In our protocol, private is symmetrically generated by two communicating partners. It built up from synchronized bits occurring between current-modulated bidirectionally coupled semiconductor lasers with additional self-feedback. analyze security exchanged and discuss amplification its privacy. generation rates to 11 Mbit/s over public channel.
Two-level emitters are the main building blocks of photonic quantum technologies and model systems for exploration optics in solid state. Most interesting is strict resonant excitation such to control their occupation coherently generate close ideal light, which utmost importance applications technology. To date, approaches experiments this field have been performed exclusively using bulky lasers, hinders application resonantly driven two-level compact systems. Here we address issue present...
Abstract Synchronization of coupled oscillators at the transition between classical physics and quantum has become an emerging research topic crossroads nonlinear dynamics nanophotonics. We study this unexplored field by using dot microlasers as optical oscillators. Operating in regime cavity electrodynamics (cQED) with intracavity photon number on order 10 output powers 100 nW range, these devices have high β -factors associated enhanced spontaneous emission noise. identify synchronization...
Dense and efficient circuits with component sizes approaching the physical limit is hallmark of high performance integration. Ultimately, these features their pursuit enabled multi-decade lasting exponential increase components on integrated electronic chips according to Moore's law, which culminated electronics we know today. However, current fabrication technology mostly constrained 2D lithography, thermal energy dissipation induced by switching signal lines presents a fundamental...
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementation philosophies reported in field. It emphasizes critical role cross-disciplinary collaboration this rapidly evolving
We study and analyze the fundamental aspects of noise propagation in recurrent as well deep, multilayer networks. The motivation our is neural networks analog hardware; yet, methodology provides insight into general. Considering noisy linear nodes, we investigate signal-to-noise ratio at network's outputs, which determines upper limit computational precision. consider additive multiplicative noise, can be purely local correlated across populations neurons. This covers chief...
Artificial neural networks have become a staple computing technique in many fields. Yet, they present fundamental differences with classical hardware the way process information. Photonic implementations of network architectures potentially offer advantages over their electronic counterparts terms speed, processing parallelism, scalability and energy efficiency. Scalable high performance photonic (PNNs) been demonstrated, yet remain scarce. In this work, we study such scalable, fully...
Photonic networks are considered a promising substrate for high-performance future computing systems. Compared to electronics, photonics has significant advantages fully parallel implementation of networks. A approach large-scale photonic is realizing the connections using diffraction. Here, we characterize scalability such diffractive coupling in great detail. Based on experiments, analytically obtained bounds and numerical simulations considering real-world optical imaging setups, find...
The unstable emission of semiconductor lasers due to delayed optical feedback is characterized by combined intensity and frequency dynamics. Nevertheless, real-time experimental investigations have so far been restricted measurements dynamics only. Detailed analysis comparison with numerical models, therefore, suffered from limited information. Here, we report the simultaneous determination high temporal resolution. made accessible using a heterodyne detection scheme, in which beat signal...
We show experimentally that two semiconductor lasers mutually coupled via a passive relay fiber loop exhibit chaos synchronization at zero lag, and study how this synchronized regime is lost as the lasers' pump currents are increased. characterize properties of system with high temporal resolution in different chaotic regimes, namely, low-frequency fluctuations coherence collapse, identifying significant differences between them. In particular, marked decrease quality develops enter collapse...
We present a detailed experimental characterization of the autocorrelation properties delayed feedback semiconductor laser for different dynamical regimes. show that in many cases function intensity dynamics can be approximated by analytically derived obtained from linear stochastic model with delay. extract set dynamic parameters fit analytic solutions and discuss limits validity our approximation. The captures multiple fundamental delay systems, such as shift asymmetric broadening echoes....
Semiconductor lasers with delayed feedback exhibit two fundamentally different dynamical states: weak and strong chaos. We characterize experimentally the mechanism for emergence of Based on these insights, we demonstrate similarity properties long delays, i.e., similar dynamics pump currents when adjusting strength. For delay times, even same time- amplitude-rescaled version can be generated. Using a simple rate-equation model, corroborated. The results have major consequences...
We demonstrate a coherence increase by six orders of magnitude standard quantum well semiconductor laser. Using simple, optical-fiber-based feedback scheme, we stabilize the laser in high-gain mode long external cavity. In modified self-heterodyne measurement, mix with strongly suppressed side and obtain an interference linewidth only 12.6 Hz, corresponding to decoherence (3.1±2.9) Hz. independent characterization using etalon, deduce upper limit 300 Hz for linewidth. The stably resides this...
We perform phase-space tomography of semiconductor laser dynamics by simultaneous experimental determination optical intensity, frequency, and population inversion with high temporal resolution. apply this technique to a delayed feedback, serving as prominent example for high-dimensional chaotic model system fundamental investigations complex systems. Our approach allows us explore so far unidentified trajectories in phase space identify the underlying physical mechanism.
Microlasers are ideal candidates to bring the fascinating variety of nonlinear complex dynamics found in delay-coupled systems realm quantum optics. Particularly attractive is possibility tailoring devices' emission properties via non-invasive delayed optical coupling. However, until now scarce research has been done this direction. Here, we experimentally and theoretically investigate effects feedback on mode-switching an electrically driven bimodal quantum-dot micropillar laser,...
In many dynamical systems and complex networks time delays appear naturally in feedback loops or coupling connections of individual elements. Moreover, a whole class systems, these delay times can depend on the state system. Nevertheless, so far understanding impact such state-dependent remains poor with particular lack systematic experimental studies. Here we fill this gap by introducing conceptually simple photonic system that exhibits dynamics self-organised switching between two...
The development of ultimate microcavity lasers requires precise engineering the gain medium. Of particular interest are microlasers based on discrete centers, which aligned to field maximum cavity mode maximize modal gain. Here, we report micropillar with a medium composed site-controlled quantum dots (SCQDs). Adjusting size buried stressor, define number high-quality SCQDs located at antinode fundamental mode. Our deterministic nanoprocessing platform allows us tightly control emission...
Mutual coupling and injection locking of semiconductor lasers is great interest in non-linear dynamics its applications for instance secure data communication photonic reservoir computing. Despite importance, it has hardly been studied microlasers operating at μW light levels. In this context, vertically emitting quantum dot micropillar are high interest. Usually, their emission bimodal, the gain competition associated linearly polarized fundamental modes results complex switching dynamics....