Baidu & UTS Propose Practical Quantum Self-Attention Neural Networks for Text Classification

In the new paper Quantum Self-Attention Neural Networks for Text Classification, a team from Baidu Research and the University of Technology Sydney proposes the quantum self-attention neural network (QSANN), a simple yet powerful architecture that is effective and scalable to large real-world datasets.

ai artificial intelligence attention baidu classification deep-neural-networks machine learning machine learning & data science ml networks neural networks quantum quantum computing research self-attention technology text text classification