This repo contains the research project submissions for the Introduction to Quantum Research for Girls Programme in 2024. Apart from one project all the others are about Quantum Computing and Quantum Machine Learning. The accompanying research posters for each project can be found in the IQRG Proceedings 2024.
For the individual research projects please navigate to the folder of each team:
Of course, here is the list with each entry as a void link:
- K. Kwok, I. Martín, VQE for Ground State Energy Optimisation of $H_2$
- A. Padmasola, O. Singh, Quantum Complexity and the HHL Algorithm
- G. X. Talarico, G. Gangadharan, Optimization Problem for QAOA
- I. Trivic, I. Vavilov, Spotify Music Recommendations Based on Personality Traits
- E. Macmillan, Z. Salau, Linear Search vs Grover's Algorithm
- A. Amit, F. Asim, Carbon Footprint Forecasting Based on Quantum RNN
- M. Muralidhar, V. Greenald, Using VQE and QPE for Chemical Problems
- A. Jablonowska, L. Kopke, Using VQE for Optimising Chemical Problems
- B. Sallam, M. Zaied, Application of QML to Identify Malicious Login Attempts Based on the BETH Dataset
- A. Hossain, F. Farheen, Carbon Footprint Forecasting Based on Quantum RNN
- J. Lee, F. Amr, Quantum Computing Concepts with Qubit Manipulation
- T. Clara, A. Forastieri, Quantum Cryptography
- P. Garg, P. Chauhan, Understanding Quantum Teleportation
- R. Vijayan, Spotify Music Recommendation System Using Quantum Machine Learning
- N. Lopes da Silva, J. V. Lozano, Understanding Quantum Teleportation
- J. Ayman, M. Hakeem, Grovers Algorithm
- E. Shah, Spotify Recommendation System Using Quantum Machine Learning
- C. Samer, A. Ahmed, Quantum Computing Concepts with Qubit Manipulation
- B. Teyeb, S. Barthel de Weydenthal, Developing a Predicative Model Using QML for Forecasting Best-Selling Mobile Phones