The Dawn of Quantum Natural Language Processing

In plain words: Standard language networks were given quantum circuits as extra parts, then trained in simulation to label words by grammar role and judge review sentiment. The quantum-boosted word-labeling network trained successfully, though no accuracy gain over ordinary versions is reported.

Abstract

In this paper, we discuss the initial attempts at boosting understanding human language based on deep-learning models with quantum computing. We successfully train a quantum-enhanced Long Short-Term Memory network to perform the parts-of-speech tagging task via numerical simulations. Moreover, a quantum-enhanced Transformer is proposed to perform the sentiment analysis based on the existing dataset.

Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring
arXiv:2110.06510 · cs.CL, cs.AI, cs.CV, cs.LG, quant-ph · submitted Oct 13, 2021
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