The emergence of noisy medium-scale quantum devices has led to
proof-of-concept applications for quantum computing in various domains.
Examples include Natural Language Processing (NLP) where sentence
classification experiments have been carried out, as well as procedural
generation, where tasks such as geopolitical map creation, and image
manipulation have been performed. We explore applications at the intersection
of these two areas by designing a hybrid quantum-classical algorithm for
sentence generation.
Our algorithm is based on the well-known simulated annealing technique for
combinatorial optimisation. An implementation is provided and used to
demonstrate successful sentence generation on both simulated and real quantum
hardware. A variant of our algorithm can also be used for music generation.
This paper aims to be self-contained, introducing all the necessary
background on NLP and quantum computing along the way.

本文介绍了使用嘈杂的中尺度量子设备进行自然语言处理（NLP）和过程生成的应用，探索设计用于句子生成的混合量子 - 经典算法，并提出实现及其在模拟和真实量子硬件上的成功应用，同时引入必要的 NLP 和量子计算背景知识。