10 citations · 15 across the 8 of their papers we have counts for
3 papers · 1 filter
Optimized Quantum Embedding: A Universal Minor-Embedding Framework for Large Complete Bipartite Graph
Salvatore Sinno, Thomas Groß, Nicholas Chancellor +2
Minor embedding is essential for mapping largescale combinatorial problems onto quantum annealers, particularly in quantum machine learning and optimization. This work presents an…
Quantum Machine Learning in Precision Medicine and Drug Discovery -- A Game Changer for Tailored Treatments?
Markus Bertl, Alan Mott, Salvatore Sinno +1
The digitization of healthcare presents numerous challenges, including the complexity of biological systems, vast data generation, and the need for personalized treatment plans. Tr…
Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing
Salvatore Sinno, Markus Bertl, Arati Sahoo +3
This study explores the implementation of large Quantum Restricted Boltzmann Machines (QRBMs), a key advancement in Quantum Machine Learning (QML), as generative models on D-Wave's…