DAY 26- Quantum Learning:- 

Mats Granath is an associate professor at the University of Gothenburg and involved in the Valenbye Center for Quantum Technology.

His presentation discusses the intersection of quantum computing and machine learning, focusing on two perspectives: quantum machine learning and machine learning for quantum computing.

Quantum machine learning aims to use quantum computers to enhance traditional machine learning tasks, although the path to achieving this is not yet clear.

                                       

Machine learning for quantum computing involves using machine learning techniques to improve quantum computing processes.  

Granath discusses the basics of quantum computing, quantum gates, entanglement, and the challenges in building quantum computers, highlighting recent developments in the field.