activity
20162025
most citedQuantum Computers for Weather and Climate Prediction: The Good, the Bad and the Noisy

54 citations · 124 across the 11 of their papers we have counts for

collaborators

13 papers

quant-ph2025

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…

quant-ph2024★ 1 cited

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…

physics.flu-dyn2024

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…

quant-ph2024

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…

quant-ph2024★ 2 cited

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…

quant-ph2023★ 2 cited

Procedure for improving cross-resonance noise resistance using pulse-level control

David Danin, Felix Tennie

Current implementations of superconducting qubits are often limited by the low fidelities of multi-qubit gates. We present a reproducible and runtime-efficient pulse-level approach…