Quantum natural language processing applications on high-performance computing systems and quantum devices

Quantum natural language processing (QNLP) is a cutting-edge application aiming to develop NLP models to be executed on quantum computers. We assess the feasibility and accuracy of QNLP models using numerical simulators on HPC systems and actual quantum hardware. In particular, we use classical simulators and an hybrid HPC-quantum workflow to implement quantum pipelines and neural networks in combination with default datasets to demonstrate a QNLP application on HPC and NISQ devices.