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20242026
most citedFeature Importance and Explainability in Quantum Machine Learning

3 citations · 3 across the 10 of their papers we have counts for

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cs.CR2026

A Lightweight Fault-Detection Scheme for Barrett Modular Multiplication Using Multiple Conditional Reduction Paths

Rourab Paul, Paresh Baidya, Krishnendu Guha +1

Polynomial multiplication is the most resource-, time-, and energy-critical operation in lattice-based Post-Quantum Cryptography (PQC) and Fully Homomorphic Encryption (FHE) scheme…

cs.CR2025

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…

cs.CR2025

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…

cs.CR2025

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…

cs.CR2025

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…