Quantum Computing to enhance Machine Learning Accuracy

in this project, we are exploring the combination of quantum computing with machine learning to ensure a quantum-enhanced machine learning. We are focusing on the improvement of the accuracy and reliability of machine learning algorithms. While quantum improvements in supervised, unsupervised learning, and reinforcement learning have been reported, distributed models of machine learning such as Federated learning have received much less attention. Within our project, we tackle the problem of quantum enhancements in federated learning as well as in a set of specific use cases, and we will propose a systematic scheme for providing accuracy and reliability improvements.

Faculty Supervisor:

Haïfa Nakouri;Fehmi Jaafar

Student:

Partner:

Kyungpook National University

Discipline:

Computer science

Sector:

Artificial Intelligence; Quantum Science; Technology

University:

Université du Québec à Chicoutimi

Program:

Globalink Research Award

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