Quantum computers bring a new level of computational power, making use of the quantum mechanical phenomenon to enable quicker and more efficient solutions to complicated issues. This chapter examines the fascinating intersection of quantum computing and natural language processing, which has generated increasing interest in the new discipline of Quantum Natural Language Processing. This hybrid topic covers a broad range of NLP activities and uses the capabilities of quantum mechanics to handle important language processing issues. This chapter offers a comprehensive review of the current landscape of Quantum Natural Language Processing, categorizing the approaches that have been developed so far into two main groups: theoretical research as well as hardware implementations, whether conventional or quantum. These methods are further divided into task-specific categories, which include specialist NLP applications such as question-answering and sentiment analysis, as well as general-purpose uses like syntax-semantic representation. The chapter also explores the benefits of QNLP, discussing its advantages in terms of performance and methodology. Quantum Natural Language Processing is still in its early stages, this overview serves as a foundation for identifying future research directions. Quantum computers are not designed to replace classical systems, but rather to tackle specific challenges that traditional computing methods struggle to address.