Parts of speech tagging towards classical to quantum computing

Abstract

Quantum computing is a fast-emerging field that follows the laws of quantum mechanics to solve complex problems for classical systems. In the last few years, several researchers have emerged in quantum computing in accordance with the artificial intelligence field. Natural language processing is one of the prominent subfields of artificial intelligence. Quantum computing can be applied to the applications of natural language processing for better performance. One of the vital applications of natural language processing is Parts-Of-Speech (POS) tagging. It is prerequired for many natural language processing applications. In this paper, we have performed POS tagging of the Mizo language using classical Long short-term memory (LSTM). Subsequently, quantum-enhanced long short-term memory (QLSTM) has also been used to perform POS tagging of the Mizo language. The approaches mentioned above have been tested on the Mizo-tagged corpus, and experimental results have shown that quantum computing approaches such as QLSTM need the inclusion of new technologies to achieve significant results.