A nonlinear spectral core–periphery detection method for multiplex networks
Core–periphery detection aims to separate the nodes of a complex network into two subsets:
a core that is densely connected to the entire network and a periphery that is densely …
a core that is densely connected to the entire network and a periphery that is densely …
Core-periphery detection in multilayer networks
Multilayer networks provide a powerful framework for modeling complex systems that
capture different types of interactions between the same set of entities across multiple layers …
capture different types of interactions between the same set of entities across multiple layers …
Quantum deep learning by sampling neural nets with a quantum annealer
CF Higham, A Bedford - Scientific reports, 2023 - nature.com
We demonstrate the feasibility of framing a classically learned deep neural network as an
energy based model that can be processed on a one-step quantum annealer in order to …
energy based model that can be processed on a one-step quantum annealer in order to …
Testing quantum and simulated annealers on the drone delivery packing problem
Using drones to perform human-related tasks can play a key role in various fields, such as
defense, disaster response, agriculture, healthcare, and many others. The drone delivery …
defense, disaster response, agriculture, healthcare, and many others. The drone delivery …
A nonlinear spectral core-periphery detection method for multiplex networks
Core-periphery detection aims to separate the nodes of a complex network into two subsets:
a core that is densely connected to the entire network and a periphery that is densely …
a core that is densely connected to the entire network and a periphery that is densely …