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Found 4 papers, 2 papers with code
Variational Quantum Approximate Support Vector Machine with Inference Transfer
A kernel-based quantum classifier is the most practical and influential quantum machine learning technique for the hyper-linear classification of complex data.
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization
Quantum neural networks are promising for a wide range of applications in the Noisy Intermediate-Scale Quantum era.
Multiview Variational Deep Learning with Application to Scalable Indoor Localization
The multiview training with CSI obtained from multiple groups of access points (APs) generates latent features on supervised variational deep network.
Quantum classifier with tailored quantum kernel
Kernel methods have a wide spectrum of applications in machine learning.
Quantum Physics
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