153 citations · 925 across the 28 of their papers we have counts for
5 papers · 1 filter
Taming a non-convex landscape with dynamical long-range order: memcomputing Ising benchmarks
Forrest Sheldon, Fabio L. Traversa, Massimiliano Di Ventra
Recent work on quantum annealing has emphasized the role of collective behavior in solving optimization problems. By enabling transitions of clusters of variables, such solvers are…
MemComputing Integer Linear Programming
Fabio L. 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 availa…
Stress-testing memcomputing on hard combinatorial optimization problems
Forrest Sheldon, Pietro Cicotti, Fabio L. Traversa +1
Memcomputing is a novel paradigm of computation that utilizes dynamical elements with memory to both store and process information on the same physical location. Its building block…
Memcomputing: Leveraging memory and physics to compute efficiently
Massimiliano Di Ventra, Fabio L. Traversa
It is well known that physical phenomena may be of great help in computing some difficult problems efficiently. A typical example is prime factorization that may be solved in polyn…
Accelerating Deep Learning with Memcomputing
Haik Manukian, Fabio L. Traversa, Massimiliano Di Ventra
Restricted Boltzmann machines (RBMs) and their extensions, called 'deep-belief networks', are powerful neural networks that have found applications in the fields of machine learnin…