11 papers
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…
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…
Predicting sampling advantage of stochastic Ising Machines for Quantum Simulations
Rutger J. L. F. Berns, Davi R. Rodrigues, Giovanni Finocchio +1
Stochastic Ising machines, sIMs, are highly promising accelerators for optimization and sampling of computational problems that can be formulated as an Ising model. Here we investi…
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…
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…
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…