4 papers
Parameter-free Adaptive Sparse Attention via Compression-Based Content Selection
Debarshi Kundu, Swaroop Ghosh, Vasant Honavar
Data-adaptive sparse attention masks substantially outperform fixed patterns (e.g., BigBird and Longformer) and can even exceed dense attention on long sequences. Existing adaptive…
Q-Embroidery: A Study on Weaving Quantum Error Correction into the Fabric of Quantum Classifiers
Avimita Chatterjee, Debarshi Kundu, Swaroop Ghosh
Quantum computing holds transformative potential for various fields, yet its practical application is hindered by the susceptibility to errors. This study makes a pioneering contri…
MITS: A Quantum Sorcerer Stone For Designing Surface Codes
Avimita Chatterjee, Debarshi Kundu, Swaroop Ghosh
In the evolving landscape of quantum computing, determining the most efficient parameters for Quantum Error Correction (QEC) is paramount. Various quantum computers possess varied…
Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks
Satwik Kundu, Debarshi Kundu, Swaroop Ghosh
Cloud hosting of quantum machine learning (QML) models exposes them to a range of vulnerabilities, the most significant of which is the model stealing attack. In this study, we ass…