Outputs (2)

Training neural networks with universal adiabatic quantum computing (2024)
Journal Article
Abel, S., Criado, J. C., & Spannowsky, M. (2024). Training neural networks with universal adiabatic quantum computing. Frontiers in Artificial Intelligence, 7, Article 1368569. https://doi.org/10.3389/frai.2024.1368569

The training of neural networks (NNs) is a computationally intensive task requiring significant time and resources. This article presents a novel approach to NN training using adiabatic quantum computing (AQC), a paradigm that leverages the principle... Read More about Training neural networks with universal adiabatic quantum computing.

Charting the free energy landscape of metastable topological magnetic objects (2024)
Journal Article
Criado, J. C., Hatton, P. D., Lanza, Á., Schenk, S., & Spannowsky, M. (2024). Charting the free energy landscape of metastable topological magnetic objects. Physical Review B, 109(19), Article 195114. https://doi.org/10.1103/physrevb.109.195114

Chiral magnets with Dzyaloshinskii-Moriya interactions feature a rich phase diagram with a variety of thermodynamical phases. These include helical and conical spin arrangements and topologically charged objects such as (anti)Skyrmions. Crucially, du... Read More about Charting the free energy landscape of metastable topological magnetic objects.