3 papers
quant-ph2026
Compositional Quantum Heuristics for Max-Clique Detection
Tiffany Duneau, Colin Krawchuk, Anna Pearson
Quantum machine learning holds the promise of combining the success of classical machine learning methods with the power of quantum computing, however one of the largest obstacles…
cs.CL2025
Towards a Comparative Framework for Compositional AI Models
Tiffany Duneau
The DisCoCirc framework for natural language processing allows the construction of compositional models of text, by combining units for individual words together according to the g…
quant-ph2024
Scalable and interpretable quantum natural language processing: an implementation on trapped ions
Tiffany Duneau, Saskia Bruhn, Gabriel Matos +5
We present the first implementation of text-level quantum natural language processing, a field where quantum computing and AI have found a fruitful intersection. We focus on the QD…