qnlp

A high-level Python library for Quantum Natural Language Processing

User manual and example notebooks for the lambeq QNLP library

Quantum Natural Language Processing for Japanese. Why the quantum approach will be better than large language models for the Japanese language.

A quantum model for binary sentence classification

A hybrid Quantum-Classical Transformer implementation based on nanoGPT, using PyTorch and PennyLane to replace attention heads with Variational Quantum Circuits (VQC).

Quantum natural-language retrieval via DisCoCat + variational circuits.

📊 A Scientometric Analysis of Quantum Natural Language Processing

Continuous-variable photonic retrieval — Gaussian-state fidelity over Strawberry Fields programs. CV sister to qrouter.

Quantum-enhanced generative art

riverrun, past Bobcat's parsing, down to qubit again.

QuLIP: Quantum Language-Image Pretraining. A framework mapping Combinatory Categorial Grammar (CCG) to Variational Quantum Circuits (VQCs) for parameter-efficient, structure-aware multimodal alignment. Outperforms classical CLIP on compositional benchmarks with 1000x fewer parameters.