Roadmap for Unconventional Computing with Nanotechnology
Creators: name: Finocchio, Giovanni
name: Incorvia, Jean Anne C.
name: Friedman, Joseph S.
name: Yang, Qu
name: Giordano, Anna
name: Grollier, Julie
name: Yang, Hyunsoo
name: Ciubotaru, Florin
name: Chumak, Andrii
name: Naeemi, Azad J.
name: Cotofana, Sorin D.
name: Tomasello, Riccardo
name: Panagopoulos, Christos
name: Carpentieri, Mario
name: Lin, Peng
name: Pan, Gang
name: Yang, J. Joshua
name: Todri-Sanial, Aida
name: Boschetto, Gabriele
name: Makasheva, Kremena
name: Sangwan, Vinod K.
name: Trivedi, Amit Ranjan
name: Hersam, Mark C.
name: Camsari, Kerem Y.
name: McMahon, Peter L.
name: Datta, Supriyo
name: Koiller, Belita
name: Aguilar, Gabriel H.
name: Temporão, Guilherme P.
name: Rodrigues, Davi R.
name: Sunada, Satoshi
name: Everschor-Sitte, Karin
name: Tatsumura, Kosuke
name: Goto, Hayato
name: Puliafito, Vito
name: Åkerman, Johan
name: Takesue, Hiroki
name: Di Ventra, Massimiliano
name: Pershin, Yuriy V.
name: Mukhopadhyay, Saibal
name: Roy, Kaushik
name: Wang, I-Ting
name: Kang, Wang
name: Zhu, Yao
name: Kaushik, Brajesh Kumar
name: Hasler, Jennifer
name: Ganguly, Samiran
name: Ghosh, Avik W.
name: Levy, William
name: Roychowdhury, Vwani
name: Bandyopadhyay, Supriyo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Emerging Technologies (cs.ET)
subject: Applied Physics (physics.app-ph)
subject: FOS: Computer and information sciences
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: FOS: Physical sciences

description: In the "Beyond Moore's Law" era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same time, adopting a variety of nanotechnologies will offer benefits in energy cost, computational speed, reduced footprint, cyber resilience, and processing power. The time is ripe for a roadmap for unconventional computing with nanotechnologies to guide future research, and this collection aims to fill that need. The authors provide a comprehensive roadmap for neuromorphic computing using electron spins, memristive devices, two-dimensional nanomaterials, nanomagnets, and various dynamical systems. They also address other paradigms such as Ising machines, Bayesian inference engines, probabilistic computing with p-bits, processing in memory, quantum memories and algorithms, computing with skyrmions and spin waves, and brain-inspired computing for incremental learning and problem-solving in severely resource-constrained environments. These approaches have advantages over traditional Boolean computing based on von Neumann architecture. As the computational requirements for artificial intelligence grow 50 times faster than Moore's Law for electronics, more unconventional approaches to computing and signal processing will appear on the horizon, and this roadmap will help identify future needs and challenges. In a very fertile field, experts in the field aim to present some of the dominant and most promising technologies for unconventional computing that will be around for some time to come. Within a holistic approach, the goal is to provide pathways for solidifying the field and guiding future impactful discoveries.
description: 80 pages accepted in Nano Futures