46 citations · 161 across the 21 of their papers we have counts for
21 papers
Reconstructing the information processing capacity of physical systems from noisy observations
Shun Kotoku, Rodrigo Martínez-Peña, Takatomo Mihana +5
Driven dynamical systems can compute when their transient states encode complex transformations of past inputs. The information processing capacity (IPC) framework allows for a det…
Optically Writable Atomic Vapor Memory as a Substrate for Optical Reservoir Computing
Elizabeth Robertson, Mingwei Yang, Lina Jaurigue +3
We present an optical random access memory (ORAM) based on warm cesium (Cs) atomic vapor and demonstrate its operation as the physical substrate of a reservoir computer. Informatio…
Disentangling Memory and Nonlinearity in Time-Multiplexed Optical Reservoir Computing
Elias R. Koch, Julien Javaloyes, Svetlana V. Gurevich +1
We analyze and disentangle the individual and combined roles of nonlinearity, transient dynamics, and delayed feedback, and investigate how these mechanisms contribute to different…
Prediction performance of random reservoirs with different topology for nonlinear dynamical systems with different number of degrees of freedom
Shailendra K. Rathor, Lina Jaurigue, Martin Ziegler +1
Reservoir computing (RC) is a powerful framework for predicting nonlinear dynamical systems, yet the role of reservoir topologyparticularly symmetry in connectivity and weights$…
Data-Driven Performance Measures using Global Properties of Attractors for Black-Box Surrogate Models of Chaotic Systems
Luci Fumagalli, Kathy Lüdge, Jana de Wiljes +2
In climate systems, physiological models, optics, and many more, surrogate models are developed to reconstruct chaotic dynamical systems. We introduce four data-driven measures usi…
Utilizing rate-independent hysteresis for analog computing
Lina Jaurigue, Kathy Lüdge
Physical systems exhibiting hysteresis are increasingly being used in neuromorphic and in-memory computing research. Generally, the resistance switching of devices with rate-indepe…
From Krylov Complexity to Observability: Capturing Phase Space Dimension with Applications in Quantum Reservoir Computing
Saud Čindrak, Kathy Lüdge, Lina Jaurigue
We demonstrate that time-evolved operators can construct a Krylov space to compute Operator complexity and introduce Krylov observability as a measure of effective phase space dime…
Roadmap on Neuromorphic Photonics
Daniel Brunner, Bhavin J. Shastri, Mohammed A. Al Qadasi +147
This roadmap consolidates recent advances while exploring emerging applications, reflecting the remarkable diversity of hardware platforms, neuromorphic concepts, and implementatio…
High-Speed Time Series Prediction with a GHz-rate Photonic Spiking Neural Network built with a single VCSEL
Dafydd Owen-Newns, Lina Jaurigue, Josh Robertson +4
Photonic technologies hold significant potential for creating innovative, high-speed, efficient and hardware-friendly neuromorphic computing platforms. Neuromorphic photonic method…
Time-multiplexed Reservoir Computing with Quantum-Dot Lasers: Does more complexity lead to better performance?
Huifang Dong, Lina Jaurigue, Kathy Lüdge
Reservoir computing with optical devices offers an energy-efficient approach for time-series forecasting. Quantum dot lasers with feedback are modelled in this paper to explore the…
Influence of noise-induced modulations on the timing stability of passively mode-locked semiconductor laser subject to optical feedback
Lina Jaurigue, Kathy Lüdge
We show that passively mode-locked lasers subject to feedback from a single external cavity can exhibit large timing fluctuations on short time scales despite having a relatively s…
Engineering Quantum Reservoirs through Krylov Complexity, Expressivity and Observability
Saud Čindrak, Lina Jaurigue, Kathy Lüdge
This study employs Krylov-based information measures to understand task performance in quantum reservoir computing, a sub-field of quantum machine learning. In our study we show th…
Measurable Krylov Spaces and Eigenenergy Count in Quantum State Dynamics
Saud Čindrak, Adrian Paschke, Lina Jaurigue +1
In this work, we propose a quantum-mechanically measurable basis for the computation of spread complexity. Current literature focuses on computing different powers of the Hamiltoni…
Chaotic attractor reconstruction using small reservoirs -- the influence of topology
Lina Jaurigue
Forecasting timeseries based upon measured data is needed in a wide range of applications and has been the subject of extensive research. A particularly challenging task is the for…
Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input
Enrico Picco, Lina Jaurigue, Kathy Lüdge +1
We present an experimental validation of a recently proposed optimization technique for reservoir computing, using an optoelectronic setup. Reservoir computing is a robust framewor…
Reducing hyperparameter dependence by external timescale tailoring
Lina C. Jaurigue, Kathy Lüdge
Task specific hyperparameter tuning in reservoir computing is an open issue, and is of particular relevance for hardware implemented reservoirs. We investigate the influence of dir…
Solving the time-complexity problem and tuning the performance of quantum reservoir computing by artificial memory restriction
Saud Čindrak, Brecht Donvil, Kathy Lüdge +1
Quantum reservoir computing is a computing approach which aims at utilising the complexity and high-dimensionality of small quantum systems, together with the fast trainability of…
The role of delay-times in delay-based Photonic Reservoir Computing
Tobias Hülser, Felix Köster, Lina Jaurigue +1
Delay-based reservoir computing has gained a lot of attention due to the relative simplicity with which this concept can be implemented in hardware. However,there is still an misco…
Double quantum dot Cooper-pair splitter at finite couplings
Robert Hussein, Lina Jaurigue, Michele Governale +1
We consider the sub-gap physics of a hybrid double-quantum dot Cooper-pair splitter with large single-level spacings, in the presence of tunnelling between the dots and finite Coul…
Timing jitter of passively mode-locked semiconductor lasers subject to optical feedback; a semi-analytic approach
Lina Jaurigue, Alexander Pimenov, Dmitrii Rachinskii +3
We propose a semi-analytical method of calculating the timing fluctuations in mode-locked semiconductor lasers and apply it to study the effect of delayed coherent optical feedback…
Conductance of partially disordered graphene: Crossover from temperature-dependent to field-dependent variable-range hopping
C. Y. Cheah, C. Gómez-Navarro, L. C. Jaurigue +1
We report and analyze low-temperature measurements of the conductance of partially disordered reduced graphene oxide, finding that the data follow a simple crossover scenario. At r…