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Simulating anti-skyrmions on a lattice (2022)
Journal Article
Criado, J. C., Schenk, S., Spannowsky, M., Hatton, P. D., & Turnbull, L. (2022). Simulating anti-skyrmions on a lattice. Scientific Reports, 12, Article 19179. https://doi.org/10.1038/s41598-022-22043-0

Magnetic skyrmions are topological spin structures that naturally emerge in magnetic materials. While a vast amount of effort has gone into the study of their properties, their counterpart of opposite topological charge, the anti-skyrmion, has not re... Read More about Simulating anti-skyrmions on a lattice.

Completely quantum neural networks (2022)
Journal Article
Abel, S., Criado, J. C., & Spannowsky, M. (2022). Completely quantum neural networks. Physical Review A, 106(2), Article 022601. https://doi.org/10.1103/physreva.106.022601

Artificial neural networks are at the heart of modern deep learning algorithms. We describe how to embed and train a general neural network in a quantum annealer without introducing any classical element in training. To implement the network on a sta... Read More about Completely quantum neural networks.