Project

Exploration of Geometric QML/ Group Invariant QML/ symmetries for optimization

Objective

Classically geometric invariances have been used in machine learning. Some recent works have proposed the same for quantum ML :- https://arxiv.org/pdf/2205.02261.pdf https://arxiv.org/pdf/2210.07980.pdf We will explore some of these and potential implementation in qiskit.

Outcome

The student will be working on implementing the existing algorithms and seeing how well it performs on real data. Also the potential improvements that can be achieved with respect to parameter reduction as well as training time . Skills : Linear Algebra, Representation Theory, Python, Qiskit Output could be a paper/survey report/open source code depending on students inclination and interest