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

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 …

Ising machines have received growing interest as efficient and hardware-friendly solvers for
combinatorial optimization problems (COPs). They search for the absolute or approximate …

The conventional computing method based on the von Neumann architecture is limited by a
series of problems such as high energy consumption, finite data exchange bandwidth …

The commercial and industrial demand for the solution of hard combinatorial optimization
problems pushes forward the development of efficient solvers. One of them is the Ising …

Probabilistic (p-) computing is a physics-based approach to addressing computational
problems which are difficult to solve by conventional von Neumann computers. A key …

The emergence of embedded magnetic random-access memory (MRAM) and its integration
in mainstream semiconductor manufacturing technology have created an unprecedented …

Probabilistic computing has emerged as a viable approach to solve hard optimization
problems. Devices with inherent stochasticity can greatly simplify their implementation in …

This article discusses the current state of development, open research opportunities, and
application perspectives of electric‐field‐controlled magnetic tunnel junctions that use the …

Inspired by many-body effects, we propose a novel design for Boltzmann machine (BM)-
based invertible logic (IL) using probabilistic bits (p-bits). A CMOS-based XNOR gate is …