2023
DOI: 10.48550/arxiv.2301.08173
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Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating

Abstract: Adaptive gating plays a key role in temporal data processing via classical recurrent neural networks (RNN), as it facilitates retention of past information necessary to predict the future, providing a mechanism that preserves invariance to time warping transformations. This paper builds on quantum recurrent neural networks (QRNNs), a dynamic model with quantum memory, to introduce a novel class of temporal data processing quantum models that preserve invariance to timewarping transformations of the (classical)… Show more

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