Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …

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

Digital computers store information in the form of bits that can take on one of two values 0
and 1, while quantum computers are based on qubits that are described by a complex …

With the slowdown of Moore's law, many emerging electronic devices and computing
architectures have been proposed to sustain the performance advancement of computing …

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 …

This work reports that synchronization of Mott material-based nanoscale coupled spiking
oscillators can be drastically different from that in conventional harmonic oscillators. We …

Oscillatory neural network (ONN) is an emerging neuromorphic architecture composed of
oscillators that implement neurons and are coupled by synapses. ONNs exhibit rich …

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 …

Combinatorial optimization problems are prevalent in various fields, but obtaining exact
solutions remains challenging due to the combinatorial explosion with increasing problem …

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 …