The Dawn of Quantum Natural Language Processing
R. Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring
2022ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)113 citationsDOIOpen Access PDF
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.
Topics & Concepts
Computer scienceQuantumTransformerArtificial intelligenceBoosting (machine learning)Question answeringNatural languageSentiment analysisTask (project management)Language modelNatural language processingElectrical engineeringEngineeringPhysicsQuantum mechanicsVoltageSystems engineeringQuantum Computing Algorithms and ArchitectureNeural Networks and Reservoir ComputingTopic Modeling