Mar 21, 2022 Global minimization via classical tunneling assisted by collective force field formation Massimiliano Di Ventra Quantum computing employs some quantum phenomena to process information. It has been hailed as the future of computing but it is plagued by…
Global minimization via classical tunneling assisted by collective force field formation
Feb 15, 2021 Global minimization via classical tunneling assisted by collective force field formation Francesco Caravelli, Forrest C. Sheldon, Fabio L. Traversa Simple dynamical models can produce intricate behaviors in large networks. These behaviors can often be observed in a…
Directed percolation and numerical stability of simulations of digital memcomputing machines
Feb 6, 2021 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…
Coupled oscillator networks for von Neumann and non von Neumann computing
DEC 22, 2020 Coupled oscillator networks for von Neumann and non von Neumann computing Michele Bonnin, Fabio Lorenzo Traversa, Fabrizio Bonani The frenetic growth of the need for computation performance and efficiency, along with the intrinsic limitations of the current main…
Efficient solution of Boolean satisfiability problems with digital memcomputing
Nov 12, 2020 Efficient solution of Boolean satisfiability problems with digital memcomputing Sean R. B. Bearden, Yan Ru Pei & Massimiliano Di Ventra Boolean satisfiability is a propositional logic problem of interest in multiple fields, e.g., physics, mathematics, and computer science….
Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines
Jan 15, 2020 Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines Francesco Caravelli, Forrest C. Sheldon, Fabio L. Traversa Restricted Boltzmann machines (RBMs) are a powerful class of generative models, but their training requires computing a gradient that, unlike supervised backpropagation on…
Aircraft Loading Optimization: MemComputing the 5th Airbus Problem
Mar 19, 2019 Aircraft Loading Optimization: MemComputing the 5th Airbus Problem Massimiliano Di Ventra, Igor V. Ovchinnikov On the January 22th 2019, Airbus launched a quantum computing challenge to solve a set of problems relevant for the aircraft life cycle…
Digital memcomputing: From logic to dynamics to topology
Mar 18, 2019 Digital Memcomputing: from Logic to Dynamics to Topology Massimiliano Di Ventra, Igor V. Ovchinnikov Digital memcomputing machines (DMMs) are a class of computational machines designed to solve combinatorial optimization problems. A practical realization of DMMs can be…
Taming a non-convex landscape with dynamical long-range order: memcomputing the Ising spin-glass
Oct 08, 2018 Taming a non-convex landscape with dynamical long-range order: memcomputing the Ising spin-glass Fabio Lorenzo Traversa, Massimiliano Di Ventra, Forrest Sheldon Recent work on quantum annealing has emphasized the role of collective behavior in solving optimization problems. By enabling…
MemComputing Integer Linear Programming
Aug 29, 2018 MemComputing Integer Linear Programming Fabio Lorenzo Traversa, Massimiliano Di Ventra Integer linear programming (ILP) encompasses a very important class of optimization problems that are of great interest to both academia and industry. Several algorithms are available that attempt…