Quantum AI Research Group
Quantum AI Research Group
Dr. Xing Liang was honored to serve as a PhD viva committee member for four doctoral defenses in the Doctorate in Physics and Astronomy at the University of Florence. The defenses reflected a high standard of research, and it was a pleasure to contribute to the evaluation process and academic discussions.
As the year came to a close, our Quantum AI group came together for a final discussion to share ideas and reflections. We looked back on several key milestones from the year and considered how they shaped our collective progress. The session gently reaffirmed the importance of collaboration in moving our work forward. As we enter the new year, we do so with a sense of clarity, steady curiosity, and quiet momentum.
Nour presented his paper on “FlashF5-MaViT: A Fast Five Frequency Mamba with CDC–FastViT Architecture for Deepfake Detection". This work presents a lightweight and efficient deepfake detection framework that combines multi-frequency spectral analysis with a fast hybrid spatial backbone. Despite having only 4.21M parameters, FlashF5-MaViT outperforms many state-of-the-art models, including those with up to 86M parameters, on challenging cross-dataset benchmarks like Celeb-DF, WildDeepfake, and DFD, while also having 29x faster inference than many baselines.
UK National Quantum Technologies Showcase 2025
The QAI group attended the 2025 National Quantum Technologies Showcase in London, organised by Innovate UK with EPSRC and the UK National Quantum Technologies Programme, to learn about recent developments in quantum science and technology.
Year of Quantum – How Can Quantum Computing Solve Complex Industry Problems?
We’re delighted to share that Mr. Daniel Goldsmith spoke on “What is Quantum Computing” at the Year of Quantum event, hosted by Digital Catapult on Wednesday, October 1, 2025.
The event featured inspiring talks and engaging discussions on the fundamentals of quantum computing, its groundbreaking applications, and the promising future of quantum technologies.
N. E. A. Badr, J. -C. Nebel, D. Greenhill and X. Liang, "WaViT-CDC: Wavelet Vision Transformer With Central Difference Convolutions for Spatial-Frequency Deepfake Detection," in IEEE Open Journal of Signal Processing, vol. 6, pp. 621-630, 2025, doi: 10.1109/OJSP.2025.3571679.
This research focuses on building more efficient and explainable intrusion detection systems (IDS) for cloud environments where we proposed a lightweight IDS leveraging FastViT, combined with advanced feature selection to significantly improve the detection of minority intrusion attack types such as Web and Infiltration.
Sponsored by the Turing Grant and hosted by Prof. Filippo Caruso, Jack undertook a one-month PhD exchange visit with the Quantum Artificial Intelligence (QAI) research group at the University of Florence, Italy, in May 2025. During this visit, he expanded his professional network and established meaningful collaborations with researchers dedicated to advancing the field of quantum machine learning.
Nikhil Sushil Muneshwar, Xing Liang, and Gordon Hunter, "Football Analysis System using Computer Vision and Machine Learning", In: 12th MathSport International Conference 2025, 4-6 Jun 2025: Luxembourg, Luxembourg
Our researcher Daniel has attended the workshop on QML in Vienna. It was an amazing session with very interesting lab tours.