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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.
Outcomes	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
Apply by Date	30/04/2024
Applied Teams	46 / 100
Duration	1-4 months
College	All College
Tools-Technologies	Python
Mentor	Dhiraj Madan