3 citations · 4 across the 8 of their papers we have counts for
8 papers
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning
Md. Saif Hassan Onim, Himanshu Thapliyal
The widespread use of cloud-based medical devices and wearable sensors has made physiological data susceptible to tampering. These attacks can compromise the reliability of healthc…
Quantum Hybrid Support Vector Machines for Stress Detection in Older Adults
Md Saif Hassan Onim, Travis S. Humble, Himanshu Thapliyal
Stress can increase the possibility of cognitive impairment and decrease the quality of life in older adults. Smart healthcare can deploy quantum machine learning to enable prevent…
GTQCP: Greedy Topology-Aware Quantum Circuit Partitioning
Joseph Clark, Travis S. Humble, Himanshu Thapliyal
We propose Greedy Topology-Aware Quantum Circuit Partitioning (GTQCP), a novel quantum gate circuit partitioning method which partitions circuits by applying a greedy heuristic to…
Peephole Optimization for Quantum Approximate Synthesis
Joseph Clark, Himanshu Thapliyal
Peephole optimization of quantum circuits provides a method of leveraging standard circuit synthesis approaches into scalable quantum circuit optimization. One application of this…
Anomaly Detection for Real-World Cyber-Physical Security using Quantum Hybrid Support Vector Machines
Tyler Cultice, Md. Saif Hassan Onim, Annarita Giani +1
Cyber-physical control systems are critical infrastructures designed around highly responsive feedback loops that are measured and manipulated by hundreds of sensors and controller…
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…