6 citations · 11 across the 17 of their papers we have counts for
20 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…
Projection-Free Transformers via Gaussian Kernel Attention
Debarshi Kundu, Archisman Ghosh, Swaroop Ghosh +1
Self-attention in Transformers is typically implemented as , where , , and are learned linear projections of the input…
No Tile Left Behind: Multiprogramming for Surface-Code Architectures
Archisman Ghosh, Avimita Chatterjee, Swaroop Ghosh
Fault-tolerant quantum computing (FTQC) is emerging as the architectural regime in which practical large-scale quantum workloads will execute. In this setting, however, multiprogra…
Rings Around the Ancilla: A Workload-Aware FTQC Architecture
Archisman Ghosh, Avimita Chatterjee, Swaroop Ghosh
Obtaining a quantum advantage in practical applications over classical machines requires a fault-tolerant model of computation. However, the resource overhead of developing a fault…
Design Automation in Quantum Error Correction
Archisman Ghosh, Avimita Chatterjee, Swaroop Ghosh
Quantum error correction (QEC) underpins practical fault-tolerant quantum computing (FTQC) by addressing the fragility of quantum states and mitigating decoherence-induced errors.…
Adversarial Threats in Quantum Machine Learning: A Survey of Attacks and Defenses
Archisman Ghosh, Satwik Kundu, Swaroop Ghosh
Quantum Machine Learning (QML) integrates quantum computing with classical machine learning, primarily to solve classification, regression and generative tasks. However, its rapid…
Capturing Quantum Snapshots from a Single Copy via Mid-Circuit Measurement and Dynamic Circuit
Debarshi Kundu, Avimita Chatterjee, Archisman Ghosh +1
We propose Quantum Snapshot with Dynamic Circuit (QSDC), a hardware-agnostic, learning-driven framework for capturing quantum snapshots: non-destructive estimates of quantum states…
Guess, SWAP, Repeat : Capturing Quantum Snapshots in Classical Memory
Debarshi Kundu, Avimita Chatterjee, Swaroop Ghosh
We introduce a novel technique that enables observation of quantum states without direct measurement, preserving them for reuse. Our method allows multiple quantum states to be obs…
Survival of the Optimized: An Evolutionary Approach to T-depth Reduction
Archisman Ghosh, Avimita Chatterjee, Swaroop Ghosh
Quantum Error Correction (QEC) is the cornerstone of practical Fault-Tolerant Quantum Computing (FTQC), but incurs enormous resource overheads. Circuits must decompose into Cliffor…
The Art of Optimizing T-Depth for Quantum Error Correction in Large-Scale Quantum Computing
Avimita Chatterjee, Archisman Ghosh, Swaroop Ghosh
Quantum Error Correction (QEC), combined with magic state distillation, ensures fault tolerance in large-scale quantum computation. To apply QEC, a circuit must first be transforme…
The Q-Spellbook: Crafting Surface Code Layouts and Magic State Protocols for Large-Scale Quantum Computing
Avimita Chatterjee, Archisman Ghosh, Swaroop Ghosh
Quantum error correction is a cornerstone of reliable quantum computing, with surface codes emerging as a prominent method for protecting quantum information. Surface codes are eff…
Quantum Prometheus: Defying Overhead with Recycled Ancillas in Quantum Error Correction
Avimita Chatterjee, Archisman Ghosh, Swaroop Ghosh
Quantum error correction (QEC) is crucial for ensuring the reliability of quantum computers. However, implementing QEC often requires a significant number of qubits, leading to sub…
Guardians of the Quantum GAN
Archisman Ghosh, Debarshi Kundu, Avimita Chatterjee +1
Quantum Generative Adversarial Networks (qGANs) are at the forefront of image-generating quantum machine learning models. To accommodate the growing demand for Noisy Intermediate-S…
STIQ: Safeguarding Training and Inferencing of Quantum Neural Networks from Untrusted Cloud
Satwik Kundu, Swaroop Ghosh
The high expenses imposed by current quantum cloud providers, coupled with the escalating need for quantum resources, may incentivize the emergence of cheaper cloud-based quantum s…
Lattice Surgery for Dummies
Avimita Chatterjee, Subrata Das, Swaroop Ghosh
Quantum error correction (QEC) plays a crucial role in correcting noise and paving the way for fault-tolerant quantum computing. This field has seen significant advancements, with…
Application of Quantum Tensor Networks for Protein Classification
Debarshi Kundu, Archisman Ghosh, Srinivasan Ekambaram +3
We show that protein sequences can be thought of as sentences in natural language processing and can be parsed using the existing Quantum Natural Language framework into parameteri…
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…
Magic Mirror on the Wall, How to Benchmark Quantum Error Correction Codes, Overall ?
Avimita Chatterjee, Swaroop Ghosh
Quantum Error Correction Codes (QECCs) are pivotal in advancing quantum computing by protecting quantum states against the adverse effects of noise and errors. With a variety of QE…