98 citations · 305 across the 21 of their papers we have counts for
5 papers · 1 filter
Implementation of digital MemComputing using standard electronic components
Yuan-Hang Zhang, Massimiliano Di Ventra
Digital MemComputing machines (DMMs), which employ nonlinear dynamical systems with memory (time non-locality), have proven to be a robust and scalable unconventional computing app…
Reconfigurable cascaded thermal neuristors for neuromorphic computing
Erbin Qiu, Yuan-Hang Zhang, Massimiliano Di Ventra +1
While the complementary metal-oxide semiconductor (CMOS) technology is the mainstream for the hardware implementation of neural networks, we explore an alternative route based on a…
Hardware implementation of digital memcomputing on small-size FPGAs
Dyk Chung Nguyen, Yuan-Hang Zhang, Massimiliano Di Ventra +1
Memcomputing is a novel computing paradigm beyond the von-Neumann one. Its digital version is designed for the efficient solution of combinatorial optimization problems, which emer…
Self-averaging of digital memcomputing machines
Daniel Primosch, Yuan-Hang Zhang, Massimiliano Di Ventra
Digital memcomputing machines (DMMs) are a new class of computing machines that employ non-quantum dynamical systems with memory to solve combinatorial optimization problems. Here,…
Directed percolation and numerical stability of simulations of digital memcomputing machines
Yuan-Hang Zhang, Massimiliano Di Ventra
Digital memcomputing machines (DMMs) are a novel, non-Turing class of machines designed to solve combinatorial optimization problems. They can be physically realized with continuou…