85 citations · 92 across the 29 of their papers we have counts for
3 papers · 2 filters
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…
Quantum Federated Learning With Quantum Networks
Tyler Wang, Huan-Hsin Tseng, Shinjae Yoo
A major concern of deep learning models is the large amount of data that is required to build and train them, much of which is reliant on sensitive and personally identifiable info…
Federated Quantum Machine Learning with Differential Privacy
Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng +1
The preservation of privacy is a critical concern in the implementation of artificial intelligence on sensitive training data. There are several techniques to preserve data privacy…