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20242026
most citedApplication of Quantum Tensor Networks for Protein Classification

6 citations · 7 across the 13 of their papers we have counts for

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cs.CR2024

Forensics of Transpiled Quantum Circuits

Rupshali Roy, Archisman Ghosh, Swaroop Ghosh

Many third-party cloud providers set up quantum hardware as a service that includes a wide range of qubit technologies and architectures to maximize performance at minimal cost. Ho…

quant-ph2024

Optimizing Quantum Embedding using Genetic Algorithm for QML Applications

Koustubh Phalak, Archisman Ghosh, Swaroop Ghosh

Quantum Embeddings (QE) are essential for loading classical data into quantum systems for Quantum Machine Learning (QML). The performance of QML algorithms depends on the type of Q…

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

AI-driven Reverse Engineering of QML Models

Archisman Ghosh, Swaroop Ghosh

Quantum machine learning (QML) is a rapidly emerging area of research, driven by the capabilities of Noisy Intermediate-Scale Quantum (NISQ) devices. With the progress in the resea…

quant-ph2024

The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning Models

Archisman Ghosh, Swaroop Ghosh

Quantum Machine Learning (QML) amalgamates quantum computing paradigms with machine learning models, providing significant prospects for solving complex problems. However, with the…

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★ 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…