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quant-ph2026
Efficient time-series prediction on NISQ devices via time-delayed quantum extreme learning machine
Mio Kawanabe, Saud Cindrak, Kathy Ludge +3
We proposed a time-delayed quantum extreme learning machine (TD-QELM) for efficient time-series prediction on noisy intermediate-scale quantum (NISQ) devices. By encoding multiple…
quant-ph2024
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…
quant-ph2023
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…