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 …

The growth of artificial intelligence leads to a computational burden in solving non-
deterministic polynomial-time (NP)-hard problems. The Ising computer, which aims to solve …

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 …

Conventional semiconductor-based logic and nanomagnet-based memory devices are built
out of stable, deterministic units such as standard metal-oxide semiconductor transistors, or …

Magnetic tunnel junctions (MTJs) utilizing unstable magnets with low barriers have been
shown to be well-suited for the implementation of random number generators (RNGs). It has …

We introduce the concept of a probabilistic or p-bit, intermediate between the standard bits
of digital electronics and the emerging q-bits of quantum computing. We show that low …

Magnetic tunnel junctions operating in the superparamagnetic regime are promising devices
in the field of probabilistic computing, which is suitable for applications like high-dimensional …

In recent decades, artificial intelligence has been successively employed in the fields of
finance, commerce, and other industries. However, imitating high-level brain functions, such …

As we approach the end of the silicon road map, alternative computing models that can
solve at-scale problems in the data-centric world are becoming important. This is …

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 …