Quantum materials for energy-efficient neuromorphic computing
Axel Hoffmann,
Shriram Ramanathan,
Julie Grollier
et al.
Abstract:Neuromorphic computing approaches become increasingly important as we address future needs for efficiently processing massive amounts of data. The unique attributes of quantum materials can help address these needs by enabling new energy-efficient device concepts that implement neuromorphic ideas at the hardware level. In particular, strong correlations give rise to highly non-linear responses, such as conductive phase transitions that can be harnessed for short and long-term plasticity. Similarly, magnetizati… Show more
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