6 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…
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…
Dynamic Hypergraph Partitioning of Quantum Circuits with Hybrid Execution
Shane Sweeney, Krishnendu Guha
Quantum algorithms offer an exponential speedup over classical algorithms for a range of computational problems. The fundamental mechanisms underlying quantum computation required…
AgEncID: Aggregate Encryption Individual Decryption of Key for FPGA Bitstream IP Cores in Cloud
Mukta Debnath, Krishnendu Guha, Debasri Saha +1
Cloud computing platforms are progressively adopting Field Programmable Gate Arrays to deploy specialized hardware accelerators for specific computational tasks. However, the secur…