Enabling Quantum Natural Language Processing for Hindi Language
The research develops Quantum Natural Language Processing (QNLP) for Hindi by creating parameterized quantum circuits from Hindi sentences. Using pregroup grammar and the DisCoCat framework, they convert sentence diagrams into quantum circuits using ansatz methods like IQP or MPS. This enables the creation of grammar-aware classifiers tailored to Hindi nuances, advancing explainable NLP.