activity
20172020
most citedPhases of memristive circuits via an interacting disorder approach

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cond-mat.stat-mech20201 cited

Phases of memristive circuits via an interacting disorder approach

Francesco Caravelli, Forrest C. Sheldon

We study the phase diagram of memristive circuit models in the replica-symmetric case using a novel Lyapunov function for the dynamics of these devices. Effectively, the model we p…

cond-mat.stat-mech2019

Critical branching processes in digital memcomputing machines

Sean R. B. Bearden, Forrest C. Sheldon, Massimiliano Di Ventra

Memcomputing is a novel computing paradigm that employs time non-locality (memory) to solve combinatorial optimization problems. It can be realized in practice by means of non-line…

cond-mat.dis-nn2018

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…

cs.ET2018

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…

cs.AI2017

Evidence of an exponential speed-up in the solution of hard optimization problems

Fabio L. Traversa, Pietro Cicotti, Forrest Sheldon +1

Optimization problems pervade essentially every scientific discipline and industry. Many such problems require finding a solution that maximizes the number of constraints satisfied…