7 papers
Quantum AI Algorithm Development for Enhanced Cybersecurity: A Hybrid Approach to Malware Detection
Tanya Joshi, Krishnendu Guha
This study explores the application of quantum machine learning (QML) algorithms to enhance cybersecurity threat detection, particularly in the classification of malware and intrus…
Adaptive t Design Dummy-Gate Obfuscation for Cryogenic Scale Enforcement
Samuel Punch, Krishnendu Guha
Cloud quantum services can reveal circuit structure and timing through scheduler metadata, latency patterns, and co-tenant interference. We introduce NADGO (Noise-Adaptive Dummy-Ga…
MAESTROCUT: Dynamic, Noise-Adaptive, and Secure Quantum Circuit Cutting on Near-Term Hardware
Samuel Punch, Krishnendu Guha
We present MaestroCut, a closed-loop framework for quantum circuit cutting that adapts partitioning and shot allocation to device drift and workload variation. MaestroCut tracks a…
Lightweight Fault Detection Architecture for NTT on FPGA
Rourab Paul, Paresh Baidya, Krishnendu Guha
Post-Quantum Cryptographic (PQC) algorithms are mathematically secure and resistant to quantum attacks but can still leak sensitive information in hardware implementations due to n…
Lightweight LSTM Model for Energy Theft Detection via Input Data Reduction
Caylum Collier, Krishnendu Guha
With the increasing integration of smart meters in electrical grids worldwide, detecting energy theft has become a critical and ongoing challenge. Artificial intelligence (AI)-base…
Component Based Quantum Machine Learning Explainability
Barra White, Krishnendu Guha
Explainable ML algorithms are designed to provide transparency and insight into their decision-making process. Explaining how ML models come to their prediction is critical in fiel…