1 citations · 1 across the 6 of their papers we have counts for
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Hybrid quantum-classical neural network for sentiment analysis
Giacomo Cappiello, Filippo Caruso, Xing Liang +1
Quantum machine learning has recently emerged as a promising paradigm that leverages the expressive power of quantum circuits to address complex learning tasks. In this work, we in…
Spectral Geometry and Bosonic-Bloch Probes: Explorations in Quantum Learning
Santanu Ganguly, Xing Liang, Dimitrios Makris
This paper studies how spectral geometry emerges in quantum learning models and how it can be diagnosed with physically grounded probes. In graph-regularized quantum networks, trai…
Quantum Generative Diffusion Model for Real-World Time Series
Jack Waller, Filippo Caruso, Dimitrios Makris +2
Generative models have achieved remarkable success in data synthesis, though recent advances driven by increasing model scale have introduced challenges in computational cost and e…
Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder
Santanu Ganguly, Xing Liang, Dimitrios Makris
We study a quantum autoencoder (QAE) for compression-driven anomaly detection in brain MRI data. The approach leverages angle encoding to map image patches into quantum states, fol…