Search Results for author:
Found 2 papers, 0 papers with code
Solving machine learning optimization problems using quantum computers
We describe a generic mathematical model to leverage quantum parallelism to speed-up machine learning algorithms.
Optimization problems with low SWaP tactical Computing
In a resource-constrained, contested environment, computing resources need to be aware of possible size, weight, and power (SWaP) restrictions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
