A hybrid quantum-classical graph transformer for sentiment classification reports higher accuracy and better sample efficiency than a classical graph transformer on five small benchmark datasets.
Implementation of the Quantum Fourier Transform
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abstract
The quantum Fourier transform (QFT) has been implemented on a three bit nuclear magnetic resonance (NMR) quantum computer, providing a first step towards the realization of Shor's factoring and other quantum algorithms. Implementation of the QFT is presented with fidelity measures, and state tomography. Experimentally realizing the QFT is a clear demonstration of NMR's ability to control quantum systems.
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Quantum Graph Transformer for NLP Sentiment Classification
A hybrid quantum-classical graph transformer for sentiment classification reports higher accuracy and better sample efficiency than a classical graph transformer on five small benchmark datasets.