Indirect measurements in quantum reservoir computing improve execution time scaling, overall performance, and memory capacity over projective measurements and classical feedback methods.
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Fixed-reservoir QRC achieves 81% lower test MSE and 52,000x faster training than variational QPINN on Lorenz chaotic prediction with 4-5 qubits.
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Harnessing quantum back-action for time-series processing
Indirect measurements in quantum reservoir computing improve execution time scaling, overall performance, and memory capacity over projective measurements and classical feedback methods.
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Fixed-Reservoir vs Variational Quantum Architectures for Chaotic Dynamics: Benchmarking QRC and QPINN on the Lorenz System
Fixed-reservoir QRC achieves 81% lower test MSE and 52,000x faster training than variational QPINN on Lorenz chaotic prediction with 4-5 qubits.