Tunable stochastic memristors for energy-efficient encryption and computing

Kyung Seok Woo, Janguk Han, Su-in Yi, Luke Thomas, Hyungjun Park, Suhas Kumar () and Cheol Seong Hwang ()
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Kyung Seok Woo: Seoul National University
Janguk Han: Seoul National University
Su-in Yi: Texas A&M University
Luke Thomas: Applied Materials Inc.
Hyungjun Park: Seoul National University
Suhas Kumar: Sandia National Laboratories
Cheol Seong Hwang: Seoul National University

Nature Communications, 2024, vol. 15, issue 1, 1-9

Abstract: Abstract Information security and computing, two critical technological challenges for post-digital computation, pose opposing requirements – security (encryption) requires a source of unpredictability, while computing generally requires predictability. Each of these contrasting requirements presently necessitates distinct conventional Si-based hardware units with power-hungry overheads. This work demonstrates Cu0.3Te0.7/HfO2 (‘CuTeHO’) ion-migration-driven memristors that satisfy the contrasting requirements. Under specific operating biases, CuTeHO memristors generate truly random and physically unclonable functions, while under other biases, they perform universal Boolean logic. Using these computing primitives, this work experimentally demonstrates a single system that performs cryptographic key generation, universal Boolean logic operations, and encryption/decryption. Circuit-based calculations reveal the energy and latency advantages of the CuTeHO memristors in these operations. This work illustrates the functional flexibility of memristors in implementing operations with varying component-level requirements.

Date: 2024
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DOI: 10.1038/s41467-024-47488-x

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