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Quantum Transfer Learning to Boost Dementia Detection
Sounak Bhowmik, Talita Perciano, Himanshu Thapliyal
https://arxiv.org/abs/2507.12485 https://

Quantum Transfer Learning to Boost Dementia Detection
Dementia is a devastating condition with profound implications for individuals, families, and healthcare systems. Early and accurate detection of dementia is critical for timely intervention and improved patient outcomes. While classical machine learning and deep learning approaches have been explored extensively for dementia prediction, these solutions often struggle with high-dimensional biomedical data and large-scale datasets, quickly reaching computational and performance limitations. To a…

Emotion Detection in Older Adults Using Physiological Signals from Wearable Sensors
Md. Saif Hassan Onim, Andrew M. Kiselica, Himanshu Thapliyal
https://arxiv.org/abs/2507.08167

Emotion Detection in Older Adults Using Physiological Signals from Wearable Sensors
Emotion detection in older adults is crucial for understanding their cognitive and emotional well-being, especially in hospital and assisted living environments. In this work, we investigate an edge-based, non-obtrusive approach to emotion identification that uses only physiological signals obtained via wearable sensors. Our dataset includes data from 40 older individuals. Emotional states were obtained using physiological signals from the Empatica E4 and Shimmer3 GSR+ wristband and facial expr…

Qrisp Implementation and Resource Analysis of a T-Count-Optimised Non-Restoring Quantum Square-Root Circuit
Heorhi Kupryianau, Marcin Niemiec
https://arxiv.org/abs/2507.12603

Qrisp Implementation and Resource Analysis of a T-Count-Optimised Non-Restoring Quantum Square-Root Circuit
Efficient quantum arithmetic operations are essential building blocks for complex quantum algorithms, yet few theoretical designs have been implemented in practical quantum programming frameworks. This paper presents the first complete implementation of the T-count optimized non-restoring quantum square root algorithm using the Qrisp quantum programming framework. The algorithm, originally proposed by Thapliyal et al., offers better resource efficiency compared to alternative methods, achieving…