10 papers
Fractional parametric resonance in spintronic diodes
Andrea Grimaldi, Denys Slobodianiuk, Eleonora Raimondo +7
Parametric pumping is a powerful tool for the excitation, amplification, and processing of oscillations and waves of different nature. In general, parametric resonance can occur wh…
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-Inspired Probabilistic Computing for Extremely Large-Scale MIMO Detection in Future 6G Wireless Systems
Andrea Grimaldi, Christian Duffee, Eleonora Raimondo +8
Extremely large-scale multiple-input multiple-output (XL-MIMO) architectures are a key enabler of forthcoming 6G wireless communication networks by allowing high data rates through…
Trainable Neuromorphic Spintronic Hardware Via Analog Finite-Difference Gradient Methods
Catarina Pereira, Alex Jenkins, Eleonora Raimondo +8
Spintronic nano-neurons offer a promising route towards energy-efficient, high-performance hardware neural networks thanks to their inherent low-input nonlinear dynamics. However,…
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…
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…