most citedExtended-variable probabilistic computing with p-dits

1 citations · 1 across the 5 of their papers we have counts for

collaborators

11 papers

eess.SY2026

A scalable and resource-efficient pipelined p-computer for probabilistic Ising machines

Deborah Volpe, Eleonora Raimondo, Andrea Grimaldi +7

Probabilistic Ising machines (PIMs) based on probabilistic bits offer a hardware-friendly route to solve combinatorial optimization problems, but most digital implementations achie…

physics.app-ph2026

P-dit Probabilistic Ising Machine for Solving the Quadratic Assignment Problem

Christian Duffee, Chadbourne M. Burling-Smith, Jordan Athas +4

Combinatorial optimization problems represent a wide range of real-world scenarios where complicated interactions make it difficult to find the best solution. One example is the qu…

cond-mat.mes-hall2026

Magneto-mechanical reservoir computing combining a two-dimensional network of nonlinear mass-spring resonators with magnetic tunnel junctions

Andrea Grimaldi, Davi R. Rodrigues, Andrea Meo +2

Coupled networks of mass-spring resonators have attracted growing attention across multiple fundamental and applied research directions, including reservoir computing for artificia…

cs.RO2025

Field-programmable dynamics in a soft magnetic actuator enabling true random number generation and reservoir computing

Eduardo Sergio Oliveros-Mata, Oleksandr V. Pylypovskyi, Eleonora Raimondo +12

Complex and even chaotic dynamics, though prevalent in many natural and engineered systems, has been largely avoided in the design of electromechanical systems due to concerns abou…

cond-mat.mes-hall2025

Adaptive Ising machine based on phase-locking of an auto-oscillator to a bi-harmonic external driving with noise

Eleonora Raimondo, Andrea Grimaldi, Vasyl Tyberkevych +6

We introduce a universal theory of phase auto-oscillators driven by a bi harmonic signal (having frequency components close to single and double of the free-running oscillator freq…

cond-mat.mes-hall2025

Metrics for spin-based computing

Hidekazu Kurebayashi, Giovanni Finocchio, Karin Everschor-Sitte +10

Spin-based computing is emerging as a powerful approach for energy-efficient and high-performance solutions to future data processing hardware. Spintronic devices function by elect…