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quant-ph2026

QML for Quantum Sensing under Measurement-Induced Information Loss

Sounak Bhowmik, Himanshu Thapliyal

Nitrogen-vacancy (NV) centers in diamond can serve as highly sensitive solid-state quantum sensors for high-sensitivity magnetometry. However, in the noisy intermediate-scale quant…

quant-ph2025

Quantum Transfer Learning to Boost Dementia Detection

Sounak Bhowmik, Talita Perciano, Himanshu Thapliyal

Dementia is a devastating condition with profound implications for individuals, families, and healthcare systems. Early and accurate detection of dementia is critical for timely in…

quant-ph2025

Quantum Properties Trojans (QuPTs) for Attacking Quantum Neural Networks

Sounak Bhowmik, Travis S. Humble, Himanshu Thapliyal

Quantum neural networks (QNN) hold immense potential for the future of quantum machine learning (QML). However, QNN security and robustness remain largely unexplored. In this work,…

quant-ph2024

Quantum Machine Learning for Anomaly Detection in Consumer Electronics

Sounak Bhowmik, Himanshu Thapliyal

Anomaly detection is a crucial task in cyber security. Technological advancement brings new cyber-physical threats like network intrusion, financial fraud, identity theft, and prop…

quant-ph2024

Transfer Learning Based Hybrid Quantum Neural Network Model for Surface Anomaly Detection

Sounak Bhowmik, Himanshu Thapliyal

The rapid increase in the volume of data increased the size and complexity of the deep learning models. These models are now more resource-intensive and time-consuming for training…