Cryogenic in-memory computing using magnetic topological insulators

Abstract

Machine learning algorithms have been proven effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementation of these algorithms at cryogenic temperatures is essential. Here, we utilize magnetic topological insulators as memristors (termed magnetic topological memristors) and introduce a cryogenic in-memory computing scheme based on the coexistence of the chiral edge state and the topological surface state. The memristive switching and reading of the giant anomalous Hall effect exhibit high energy efficiency, high stability, and low stochasticity. We achieve high accuracy in a proof-of-concept classification task using four magnetic topological memristors. Furthermore, our algorithm-level and circuit-level simulations of large-scale neural networks demonstrate software-level accuracy and lower energy consumption for image recognition and quantum state preparation compared with existing magnetic memristor and CMOS technologies. Our results not only showcase a new application of chiral edge states but also may inspire further topological quantum physics-based novel computing schemes.

56 pages, 23 figures, 5 tables, accepted version; we have corrected the upper panel in Fig. 3c of the published version

References in corpus (27)

• Supplementary information for "Quantum supremacy using a programmable superconducting processor"
• Spin torque switching with the giant spin Hall effect of tantalum
• Quantum Computing
• Emergent ferromagnetism near three-quarters filling in twisted bilayer graphene
• Magnetic-field-induced quantized anomalous Hall effect in intrinsic magnetic topological insulator MnBi${}_2$Te${}_4$
• Intrinsic quantized anomalous Hall effect in a moiré heterostructure
• Giant anomalous Hall effect in a ferromagnetic Kagome-lattice semimetal
• A ferroelectric memristor
• Switching of perpendicular magnetization by spin-orbit torques in the absence of external magnetic fields
• Scale-Invariant Dissipationless Chiral Transport in Magnetic Topological Insulators beyond the Two-Dimensional Limit
• Topological Quantum Computation Based on Chiral Majorana Fermions
• Electrical switching of magnetic order in an orbital Chern insulator
• CMOS-based cryogenic control of silicon quantum circuits
• Scaling silicon-based quantum computing using CMOS technology: State-of-the-art, Challenges and Perspectives
• Electric-field control of spin-orbit torque in a magnetically doped topological insulator
• Imaging Dirac-Mass Disorder from Magnetic Dopant-Atoms in the Ferromagnetic Topological Insulator Cr${}_x$(Bi${}_{0.1}$Sb${}_{0.9}$)${}_{2-x}$Te${}_3$
• Metal-to-Insulator Switching in Quantum Anomalous Hall States
• Visualization of superparamagnetic dynamics in magnetic topological insulators
• Current-nonlinear Hall effect and spin-orbit torque magnetization switching in a magnetic topological insulator
• When does reinforcement learning stand out in quantum control? A comparative study on state preparation
• Topological Kagome magnet Co3Sn2S2 thin flakes with high electron mobility and large anomalous Hall effect
• Confinement-Induced Chiral Edge Channel Interaction in Quantum Anomalous Hall Insulators
• Mesoscopic Transport of Quantum Anomalous Hall Effect in Sub-Micron Size Regime
• Electrical Switching of the Edge Current Chirality in Quantum Anomalous Hall Insulators
• CryoCiM: Cryogenic Compute-in-Memory based on the Quantum Anomalous Hall Effect
• Low-damage electron beam lithography for nanostructures on Bi${}_2$Te${}_3$-class topological insulator thin films
• Electrically Tunable Wafer-Sized Three-Dimensional Topological Insulator Thin Films Grown by Magnetron Sputtering

Cited by in corpus (2)

• Breakdown of the symmetry constraint in a Floquet topological insulator
• AC Current-Driven Magnetization Switching and Nonlinear Hall Rectification in a Magnetic Topological Insulator