Quantum Enhanced Language Models (QELMs) are advanced computational language models that integrate principles from quantum computing with machine learning techniques to efficiently address complex tasks such as classification and regression. By leveraging quantum dynamics, QELMs can process information in ways that classical systems cannot, offering potential advantages in speed and accuracy for specific applications, mainly large language models.

QELM is a Quantum Language Model Creator that utilizes simulations and/or IBM quantum computers to create models with Qubits channels and sub-bit encoding/decoding. Paving the way for future quantum projects.