The probabilistic formalism of quantum physics (quantum probabilities) provides a sound basis for building a principled information access (IA) models. In this talk, I will present the Quantum IA framework I developed within the Renaissance project in the University of Glasgow, after having introduced the quantum probabilities formalism on which it relies.
I will show how the framework has been used for the tasks of filtering, ad-hoc retrieval and, more recently, summarisation. I will then present and discuss how the Quantum IA framework can be extended by means of kernels, thus enabling to work implicitly in high dimensional spaces, and present some related ongoing works.
