activity
20242026
most citedApplication of Quantum Tensor Networks for Protein Classification

6 citations · 11 across the 17 of their papers we have counts for

collaborators
Showing 2024Show all

9 papers · 1 filter

quant-ph2024

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…

quant-ph2024

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…

quant-ph2024★ 1 cited

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…

quant-ph2024

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…

quant-ph2024★ 6 cited

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…

quant-ph2024

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…

quant-ph2024

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…

quant-ph2024

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…

quant-ph2024★ 3 cited

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…