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 …

Spintronics is one of the emerging fields for the next-generation nanoelectronic devices to
reduce their power consumption and to increase their memory and processing capabilities …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware
for information processing, capable of highly sophisticated tasks. Systems built with standard …

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 …

Ferroic orders describe spontaneous polarization of spin, charge and lattice degrees of
freedom in materials. Materials exhibiting multiple ferroic orders, known as multiferroics …

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

Quantum technologies are currently the object of high expectations from governments and
private companies, as they hold the promise to shape safer and faster ways to extract …

Resistive memory technologies could be used to create intelligent systems that learn locally
at the edge. However, current approaches typically use learning algorithms that cannot be …

Spin Hall effect, an electric generation of spin current, allows for efficient control of
magnetization. Recent theory revealed that orbital Hall effect creates orbital current, which …