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Found 3 papers, 2 papers with code
Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition
DMs can improve the accuracy of neural decoding when used with the nonlinear Grassmann kernel, compared to conventional power features.
Quantum circuit-like learning: A fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning
In one such attempt, Mitarai et al. (2018) proposed a framework to use a quantum circuit for supervised ML tasks, which is called quantum circuit learning (QCL).
Quantum-inspired canonical correlation analysis for exponentially large dimensional data
The computational efficiency and approximation performance of the proposed quantum-inspired CCA (qiCCA) algorithm are experimentally demonstrated.
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