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SYCC: Symposium Identifying Optimal Physical Implementations for beyond von Neumann Computing Concepts

SYCC 1: Identifying optimal physical implementations of non-conventional computing

SYCC 1.5: Hauptvortrag

Freitag, 5. April 2019, 11:45–12:15, H1

Brain-inspired approaches in ultrafast magnetism — •Johan H. Mentink — Radboud University, Nijmegen, Netherlands

The explosive growth of digital data and its related energy consumption is pushing the need to develop fundamentally new physical principles for faster and more energy-efficient control of materials. Magnetic materials are already at the center of computing today, due to their ability to store information within the direction of magnetic moments in a non-volatile and rewritable way. In recent years, tremendous progress has been made in controlling magnetism with femtosecond optical pulses, including demonstrations of record-breaking fast write-read events [1], operation in technologically relevant materials such as CoPt [2] and enabling magnetic recording that is not only much faster but also exhibits a projected heat load of only 22 aJ per magnetic bit [3]. Here we present our recent progress focused on (i) experimental demonstration of supervised learning of an opto-magnetic neural network that exploits the optical control of magnetization of Co/Pt films as artificial synapses [4] and (ii) using machine learning to simulate ultrafast quantum spin dynamics in antiferromagnets triggered by ultrafast control of the exchange interaction [5]. [1] K. Vahaplar et al., PRL 103, 117201 (2009), [2] C.H. Lambert et al., Science 345, 1337 (2014), [3] A. Stupakiewicz et al., Nature 542, 71 (2017). [4] A. Chakravarty, et al. preprint arXiv:1811.01375, 2018, [5] J.H. Mentink, J. Phys.: Condens. Matter. 29, 453001 (2017).