Tag: QML
All the talks with the tag "QML".
Data Re-uploading For A Universal Quantum Classifier
Haribandhu JenaPublished: at 08:30 AMA single qubit can act as a universal quantum classifier when combined with a classical subroutine, using data re-uploading to overcome its limitations. By repeatedly uploading data and applying single-qubit operations, it can handle multi-dimensional inputs and classify multiple categories. Extending this to multi-qubit systems with entanglement further enhances its efficiency. Benchmarking results confirm its capability to classify complex data effectively.
Quantum Implicit Neural Representations
Haribandhu JenaPublished: at 07:00 PMThis short talk discusses QIREN. QIREN is a quantum generalization of Fourier Neural Networks (FNNs) for implicit neural representations, offering a quantum advantage in modeling high-frequency signal components. It outperforms SoTA models in signal representation, image superresolution, and image generation.