2 papers
quant-ph2024
Scaling the Variational Quantum Eigensolver for Dynamic Portfolio Optimization
Álvaro Nodar, Irene De León, Danel Arias +11
This work explores the potential of the Variational Quantum Eigensolver in solving Dynamic Portfolio Optimization problems surpassing the 100 qubit utility frontier. We systematica…
cs.RO2020
Unsupervised Learning for Subterranean Junction Recognition Based on 2D Point Cloud
Sina Sharif Mansouri, Farhad Pourkamali-Anaraki, Miguel Castano Arranz +3
This article proposes a novel unsupervised learning framework for detecting the number of tunnel junctions in subterranean environments based on acquired 2D point clouds. The imple…