论文标题
近期设备上的量子自然语言生成
Quantum Natural Language Generation on Near-Term Devices
论文作者
论文摘要
嘈杂的中等尺度量子设备的出现导致了概念验证应用程序在各个域中的量子计算。示例包括自然语言处理（NLP），其中已经进行了句子分类实验以及程序生成，在该任务中进行了地缘政治地图创建和图像操纵之类的任务。我们通过设计用于句子生成的混合量子量子算法来探索这两个领域的相交的应用。 我们的算法基于合并优化的众所周知的模拟退火技术。提供了实现并用于展示模拟和实际量子硬件上成功的句子生成。我们的算法的一种变体也可以用于音乐发电。 本文的目的是进行独立，在此过程中引入了NLP和量子计算的所有必要背景。
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.
