Quantum extreme learning for forecasting experimental chaotic electronic circuits
quant-ph, nlin.CD
Submitted: 2026-10-09
Updated: 2026-10-09
Code: https://github.com/mohammadshariifian/QELfor-experimental-chaos-prediction
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
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- A Quantum Approximate Optimization Algorithm
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- Harnessing Photon Indistinguishability in Quantum Extreme Learning Machines
- Theory of the Edge-of-Chaos Advantage in Quantum Reservoir Computing
- Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators' Software in an Industrial Context
- Temporal information processing on a 4,500-qubit quantum annealer
- Multivariate quantum reservoir computing with discrete and continuous variable systems
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