653 citations · 4.7k across the 77 of their papers we have counts for
7 papers · 1 filter
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing
André Röhm, Daniel J. Gauthier, Ingo Fischer
Reservoir computers are powerful tools for chaotic time series prediction. They can be trained to approximate phase space flows and can thus both predict future values to a high ac…
High-Resolution Waveform Capture Device on a Cyclone-V FPGA
Noeloikeau Charlot, Daniel J. Gauthier, Andrew Pomerance
We introduce the waveform capture device (WCD), a flexible measurement system capable of recording complex digital signals on trillionth-of-a-second (ps) time scales. The WCD is im…
Next Generation Reservoir Computing
Daniel J. Gauthier, Erik Bollt, Aaron Griffith +1
Reservoir computing is a best-in-class machine learning algorithm for processing information generated by dynamical systems using observed time-series data. Importantly, it require…
Qubit-based clock synchronization for QKD systems using a Bayesian approach
Roderick D. Cochran, Daniel J. Gauthier
Quantum key distribution (QKD) systems provide a method for two users to exchange a provably secure key. Synchronizing the users' clocks is an essential step before a secure key ca…
Spectral control of high order harmonics through non-linear propagation effects
M. Hussain, S. Kaassamani, T. Auguste +13
High harmonic generation (HHG) in crystals has revealed a wealth of perspectives such as all-optical mapping of the electronic band structure, ultrafast quantum information and the…
Reservoir Computing with Superconducting Electronics
Graham E. Rowlands, Minh-Hai Nguyen, Guilhem J. Ribeill +5
The rapidity and low power consumption of superconducting electronics makes them an ideal substrate for physical reservoir computing, which commandeers the computational power inhe…