9 citations · 12 across the 6 of their papers we have counts for
6 papers
Detecting Phishing in Ethereum Networks using Quantum Machine Learning
Sai Sakunthala Guddanti, Anupama Ray, Mrunal Arun Kumavat +1
This article explores the potential of Quantum Machine Learning (QML), specifically assessing a Quantum Support Vector Machine (QSVM) and a Variational Quantum Classifier (VQC) for…
Hybrid quantum-classical graph neural networks for tumor classification in digital pathology
Anupama Ray, Dhiraj Madan, Srushti Patil +2
Advances in classical machine learning and single-cell technologies have paved the way to understand interactions between disease cells and tumor microenvironments to accelerate th…
Towards quantum-enabled cell-centric therapeutics
Saugata Basu, Jannis Born, Aritra Bose +30
In recent years, there has been tremendous progress in the development of quantum computing hardware, algorithms and services leading to the expectation that in the near future qua…
Learning hard distributions with quantum-enhanced Variational Autoencoders
Anantha Rao, Dhiraj Madan, Anupama Ray +2
An important task in quantum generative machine learning is to model the probability distribution of measurements of many-body quantum systems. Classical generative models, such as…
Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques
Tuhin Khare, Ritajit Majumdar, Rajiv Sangle +3
Quantum computers are the next evolution of computing hardware. Quantum devices are being exposed through the same familiar cloud platforms used for classical computers, and enabli…
Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networks
Anupama Ray, Sai Sakunthala Guddanti, Vishnu Ajith +1
Ethereum is one of the most valuable blockchain networks in terms of the total monetary value locked in it, and arguably been the most active network where new blockchain innovatio…