Ising machines are hardware solvers that aim to find the absolute or approximate ground
states of the Ising model. The Ising model is of fundamental computational interest because …

Spin–orbit torque (SOT) is an emerging technology that enables the efficient manipulation of
spintronic devices. The initial processes of interest in SOTs involved electric fields, spin …

Neuromorphic computing uses brain-inspired principles to design circuits that can perform
computational tasks with superior power efficiency to conventional computers. Approaches …

Spintronic devices exploit the spin, as well as the charge, of electrons and could bring new
capabilities to the microelectronics industry. However, in order for spintronic devices to meet …

Solving computationally hard problems using conventional computing architectures is often
slow and energetically inefficient. Quantum computing may help with these challenges, but it …

Conventional computers operate deterministically using strings of zeros and ones called bits
to represent information in binary code. Despite the evolution of conventional computers into …

Spin-orbit coupling in inversion-asymmetric magnetic crystals and structures has emerged
as a powerful tool to generate complex magnetic textures, interconvert charge and spin …

A computing scheme that can solve complex tasks is necessary as the big data field
proliferates. Probabilistic computing (p-computing) paves the way to efficiently handle …

We study the timescale of random telegraph noise (RTN) of nanomagnets in stochastic
magnetic tunnel junctions (MTJs). From analytical and numerical calculations based on the …

The transistor celebrated its 75th birthday in 2022. The continued scaling of the transistor
defined by Moore's law continues, albeit at a slower pace. Meanwhile, computing demands …