This repository contains the code for the paper 'Classical Data in Quantum Machine Learning Algorithms: Amplitude encoding and the Relation between Entropy and Linguistic Ambiguity'. This repository ...

Transformer-Based Embeddings: Extracts high-quality text embeddings using pre-trained Hugging Face models (e.g., DistilBERT).; Dimensionality Reduction: Reduces high-dimensional embeddings using PCA ...

Learning methodologies on quantum devices have shown that there are advantages in utilizing quantum properties. A requirement for using quantum computing in machine learning techniques is the data ...

This paper proposes a quantum machine learning (QML) algorithm with compact amplitude encoding technique for future complex modulations. We develop a quantum algorithm that leverages the empty state ...