Mutual control of stochastic switching for two electrically coupled superparamagnetic tunnel junctions

Abstract

Superparamagnetic tunnel junctions (SMTJs) are promising sources for the randomness required by some compact and energy-efficient computing schemes. Coupling SMTJs gives rise to collective behavior that could be useful for cognitive computing. We use a simple linear electrical circuit to mutually couple two SMTJs through their stochastic electrical transitions. When one SMTJ makes a thermally induced transition, the voltage across both SMTJs changes, modifying the transition rates of both. This coupling leads to significant correlation between the states of the two devices. Using fits to a generalized Néel-Brown model for the individual thermally bistable magnetic devices, we can accurately reproduce the behavior of the coupled devices with a Markov model.

12 pages, 11 figures

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Cited by in corpus (5)

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• Measurement-driven neural-network training for integrated magnetic tunnel junction arrays
• In-plane dominant anisotropy stochastic magnetic tunnel junction for probabilistic computing: A Fokker-Planck study
• Metrics for spin-based computing
• A Toffoli Gadget for Magnetic Tunnel Junctions Boltzmann Machines