2 citations · 3 across the 3 of their papers we have counts for
3 papers
quant-ph2023★ 2 cited
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…
quant-ph2023
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…
quant-ph2023★ 1 cited
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…