Edit StudentProjectForm: Quantum Machine Learning models for predicting disease

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Summary:	MANDATORY: (provide a one-line* summary of the project)*
Programme:	OPTIONAL: (Name and the number of credits)
Keywords:	OPTIONAL: (Give 4-5 keywords)
TimeFrame:	MANDATORY: (Indicate time for the project, for example, Fall 2024)
References:	1. Tiwari, P., Dehdashti, S., Obeid, A. K., Marttinen, P., & Bruza, P. (2022). Kernel method based on non-linear coherent states in quantum feature space. Journal of Physics A: Mathematical and Theoretical, 55(35), 355301. 2. Laxminarayana, N., Mishra, N., Tiwari, P., Garg, S., Behera, B. K., & Farouk, A. (2022). Quantum-Assisted Activation for Supervised Learning in Healthcare-based Intrusion Detection Systems. IEEE Transactions on Artificial Intelligence. 3. Tiwari, P., & Melucci, M. (2018, October). Towards a quantum-inspired framework for binary classification. In Proceedings of the 27th ACM international conference on information and knowledge management. 4. Zhang, Y., Liu, Y., Li, Q., Tiwari, P., Wang, B., Li, Y., ... & Song, D. (2021). CFN: a complex-valued fuzzy network for sarcasm detection in conversations. IEEE Transactions on Fuzzy Systems, 29(12), 3696-3710. 5. Moreira, C., Tiwari, P., Pandey, H. M., Bruza, P., & Wichert, A. (2020). Quantum-like influence diagrams for decision-making. Neural Networks, 132, 190-210. OPTIONAL: (Give 2-3 references for students to start with)
Prerequisites:	OPTIONAL: (Courses, any other important information)
Supervisor(s):	MANDATORY: (can be multiple names, coma-separated)
Examiner:	OPTIONAL: (Name of project Examiner)
Author(s):	OPTIONAL: (can be multiple names, coma-separated)
Level:	MANDATORY: choose one, preferably <Master>
Status:	MANDATORY: choose <Open> when the topic is ready for students to select

Project description (free text)

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Research question
Whether it’s more software or hardware related
A very brief description of 3-4 work packages
Deliverables/outcomes/results

Quantum machine learning is an emerging area that aims to bridge the gap between machine learning and quantum physics. Several quantum algorithms have been proposed and implemented on the quantum circuit in recent years. For example, it is possible to explore quantum kernel methods in deep neural networks. The main goal of this project is to explore quantum models, including hybrid (classical-quantum), and apply them to different disease prediction tasks.

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Edit StudentProjectForm: Quantum Machine Learning models for predicting disease

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