2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) 2022
DOI: 10.1109/bdcat56447.2022.00034
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Honey-CNT based Resistive Switching Device for Neuromorphic Computing Applications

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“…Researchers use the quantum properties of individual CNTs to create qubits, which are the basic units of quantum information (Gao et al, 2018;Cubaynes et al, 2019;Khivrich and Ilani, 2020;Pistolesi et al, 2021;Baydin et al, 2022). Neuromorphic computing is based on the structure of the human brain, (Kim et al, 2017;Tanaka et al, 2018;Tanim et al, 2022;Xia et al, 2022;Liu et al, 2023). Combining the both methods could lead to more advanced AI systems that use quantum computing to speed up processing and neuromorphic structures to learn and adapt quickly.…”
Section: Cnts-based Device Applicationsmentioning
confidence: 99%
“…Researchers use the quantum properties of individual CNTs to create qubits, which are the basic units of quantum information (Gao et al, 2018;Cubaynes et al, 2019;Khivrich and Ilani, 2020;Pistolesi et al, 2021;Baydin et al, 2022). Neuromorphic computing is based on the structure of the human brain, (Kim et al, 2017;Tanaka et al, 2018;Tanim et al, 2022;Xia et al, 2022;Liu et al, 2023). Combining the both methods could lead to more advanced AI systems that use quantum computing to speed up processing and neuromorphic structures to learn and adapt quickly.…”
Section: Cnts-based Device Applicationsmentioning
confidence: 99%