The paper unifies fading memory, echo states, and related memory notions in RNNs via new equivalences, implications, and alternative proofs.
Feedback-driven recurrent quantum neural network universality
3 Pith papers cite this work. Polarity classification is still indexing.
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Introduces tunable partial-SWAP for controllable memory capacity in quantum reservoir networks, modeled as controlled amplitude-damping and validated via STMC and NARMA-5 benchmarks on simulators and IBM QPUs.
Recurrent quantum feature maps achieve lower mean squared error than echo state networks and multilayer perceptrons on Mackey-Glass prediction using compact quantum circuits.
citing papers explorer
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Echoes of the Past: A Unified Perspective on Fading memory and Echo States
The paper unifies fading memory, echo states, and related memory notions in RNNs via new equivalences, implications, and alternative proofs.
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Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs
Introduces tunable partial-SWAP for controllable memory capacity in quantum reservoir networks, modeled as controlled amplitude-damping and validated via STMC and NARMA-5 benchmarks on simulators and IBM QPUs.
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Recurrent Quantum Feature Maps for Reservoir Computing
Recurrent quantum feature maps achieve lower mean squared error than echo state networks and multilayer perceptrons on Mackey-Glass prediction using compact quantum circuits.