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 …

Memristor devices offer an alternative route to transistor scaling and the exponential growth
of computational resources. Numerous memristors have the potential to be used in …

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 …

Current hardware approaches to biomimetic or neuromorphic artificial intelligence rely on
elaborate transistor circuits to simulate biological functions. However, these can instead be …

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

Combinatorial optimization problems belong to the non-deterministic polynomial time (NP)-
hard complexity class, and their computational requirements scale exponentially with …

The post-pandemic future will offer tremendous opportunity and challenge from
transformation of the human experience linking physical, digital and biological worlds: 6G …

Synchronization of large spin Hall nano-oscillator (SHNO) arrays is an appealing approach
toward ultrafast non-conventional computing. However, interfacing to the array, tuning its …

Ising machines (IMs) are physical systems designed to find solutions to combinatorial
optimization (CO) problems mapped onto the IM via the coupling strengths between its …

Nondeterministic polynomial time hard (NP-hard) combinatorial optimization problems
(COPs) are intractable to solve using a traditional computer as the time to find a solution …