Single-electron tunneling PbS/InP neuromorphic computing building blocks
Paulo F. Jarschel, Jin H. Kim, Louis Biadala, Maxime Berthe, Yannick, Lambert, Richard M. Osgood, Gilles Patriarche, Bruno Grandidier, Jimmy Xu

TL;DR
This paper investigates PbS/InP single-electron tunneling junctions that exhibit Coulomb blockade and memory effects, proposing their potential as energy-efficient, high-frequency neuromorphic computing components.
Contribution
It introduces a novel application of SET in PbS/InP junctions for neuromorphic computing, with predicted low energy consumption and high operational frequency.
Findings
Minimum energy for synaptic operation ~1 fJ
Maximum operation frequency in MHz range
Observation of Coulomb-blockade and memory behaviors
Abstract
We study single-electron tunneling (SET) characteristics in crystalline PbS/InP junctions, that exhibit single-electron Coulomb-blockade staircases along with memory and memory-fading behaviors. This gives rise to both short-term and long-term plasticities as well as a convenient non-linear response, making this structure attractive for neuromorphic computing applications. For further insights into this prospect, we predict typical behaviors relevant to the field, obtained by an extrapolation of experimental data in the SET framework. The estimated minimum energy required for a synaptic operation is in the order of 1 fJ, while the maximum frequency of operation can reach the MHz range.
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Neural Networks and Reservoir Computing · Quantum-Dot Cellular Automata
