2 citations · 3 across the 5 of their papers we have counts for
5 papers
Robust quantum reservoir computers for forecasting chaotic dynamics: generalized synchronization and stability
Osama Ahmed, Felix Tennie, Luca Magri
We show that recurrent quantum reservoir computers (QRCs) and their recurrence-free architectures (RF-QRCs) are robust tools for learning and forecasting chaotic dynamics from time…
Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics
Osama Ahmed, Felix Tennie, Luca Magri
In the current Noisy Intermediate Scale Quantum (NISQ) era, the presence of noise deteriorates the performance of quantum computing algorithms. Quantum Reservoir Computing (QRC) is…
Quantum Computing for nonlinear differential equations and turbulence
Felix Tennie, Sylvain Laizet, Seth Lloyd +1
A large spectrum of problems in classical physics and engineering, such as turbulence, is governed by nonlinear differential equations, which typically require high-performance com…
Prediction of chaotic dynamics and extreme events: A recurrence-free quantum reservoir computing approach
Osama Ahmed, Felix Tennie, Luca Magri
In chaotic dynamical systems, extreme events manifest in time series as unpredictable large-amplitude peaks. Although deterministic, extreme events appear seemingly randomly, which…
Solving nonlinear differential equations on Quantum Computers: A Fokker-Planck approach
Felix Tennie, Luca Magri
For quantum computers to become useful tools to physicists, engineers and computational scientists, quantum algorithms for solving nonlinear differential equations need to be devel…