136 citations · 908 across the 46 of their papers we have counts for
49 papers
Quantum Graph Transformer for NLP Sentiment Classification
Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy +1
Quantum machine learning is a promising direction for building more efficient and expressive models, particularly in domains where understanding complex, structured data is critica…
Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations
Atanu Barai, Stephan Eidenbenz, Nandakishore Santhi
To fully leverage the potential of artificial intelligence (AI) systems in a trustworthy manner, it is desirable to couple multiple AI and non-AI systems together seamlessly for co…
Classical Combinatorial Optimization Scaling for Random Ising Models on 2D Heavy-Hex Graphs
Elijah Pelofske, Andreas Bärtschi, Stephan Eidenbenz
Motivated by near term quantum computing hardware limitations, combinatorial optimization problems that can be addressed by current quantum algorithms and noisy hardware with littl…
Generative Discrete Event Process Simulation for Hidden Markov Models to Predict Competitor Time-to-Market
Nandakishore Santhi, Stephan Eidenbenz, Brian Key +1
We study the challenge of predicting the time at which a competitor product, such as a novel high-capacity EV battery or a new car model, will be available to customers; as new inf…
Quantum Approximate Optimization: A Computational Intelligence Perspective
Christo Meriwether Keller, Satyajayant Misra, Andreas Bärtschi +1
Quantum computing is an emerging field on the multidisciplinary interface between physics, engineering, and computer science with the potential to make a large impact on computatio…
Potential Applications of Quantum Computing at Los Alamos National Laboratory
Andreas Bärtschi, Francesco Caravelli, Carleton Coffrin +16
The emergence of quantum computing technology over the last decade indicates the potential for a transformational impact in the study of quantum mechanical systems. It is natural t…