17 citations · 19 across the 4 of their papers we have counts for
4 papers
A Multilevel Approach For Solving Large-Scale QUBO Problems With Noisy Hybrid Quantum Approximate Optimization
Filip B. Maciejewski, Bao Gia Bach, Maxime Dupont +5
Quantum approximate optimization is one of the promising candidates for useful quantum computation, particularly in the context of finding approximate solutions to Quadratic Uncons…
Assessing and Advancing the Potential of Quantum Computing: A NASA Case Study
Eleanor G. Rieffel, Ata Akbari Asanjan, M. Sohaib Alam +20
Quantum computing is one of the most enticing computational paradigms with the potential to revolutionize diverse areas of future-generation computational systems. While quantum co…
Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization
Mert Esencan, Tarun Advaith Kumar, Ata Akbari Asanjan +5
Recent Large Language Models (LLMs) have demonstrated impressive capabilities at tasks that require human intelligence and are a significant step towards human-like artificial inte…
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model
Thomas Templin, Milad Memarzadeh, Walter Vinci +4
Deep generative learning cannot only be used for generating new data with statistical characteristics derived from input data but also for anomaly detection, by separating nominal…