136 citations · 206 across the 12 of their papers we have counts for
14 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…
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…
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…
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…
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…
250 Magnetic Tunnel Junctions-Based Probabilistic Ising Machine
Shuhan Yang, Andrea Grimaldi, Youwei Bao +4
In combinatorial optimization, probabilistic Ising machines (PIMs) have gained significant attention for their acceleration of Monte Carlo sampling with the potential to reduce tim…
Extended-variable probabilistic computing with p-dits
Christian Duffee, Jordan Athas, Andrea Grimaldi +4
Ising machines can solve combinatorial optimization problems by representing them as energy minimization problems. A common implementation is the probabilistic Ising machine (PIM),…
High-performance and reliable probabilistic Ising machine based on simulated quantum annealing
Eleonora Raimondo, Esteban Garzón, Yixin Shao +10
Probabilistic computing with pbits is emerging as a computational paradigm for machine learning and for facing combinatorial optimization problems (COPs) with the so-called probabi…
Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers
Shuvro Chowdhury, Navid Anjum Aadit, Andrea Grimaldi +12
Recent demonstrations on specialized benchmarks have reignited excitement for quantum computers, yet whether they can deliver an advantage for practical real-world problems remains…
Evaluating spintronics-compatible implementations of Ising machines
Andrea Grimaldi, Luciano Mazza, Eleonora Raimondo +7
The commercial and industrial demand for the solution of hard combinatorial optimization problems push forward the development of efficient solvers. One of them is the Ising machin…
A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms
Shuvro Chowdhury, Andrea Grimaldi, Navid Anjum Aadit +9
The transistor celebrated its 75 birthday in 2022. The continued scaling of the transistor defined by Moore's Law continues, albeit at a slower pace. Meanwhile, compu…
Physics-inspired Ising Computing with Ring Oscillator Activated p-bits
Navid Anjum Aadit, Andrea Grimaldi, Giovanni Finocchio +1
The nearing end of Moore's Law has been driving the development of domain-specific hardware tailored to solve a special set of problems. Along these lines, probabilistic computing…
Reliability of Neural Networks Based on Spintronic Neurons
Eleonora Raimondo, Anna Giordano, Andrea Grimaldi +5
Spintronic technology is emerging as a direction for the hardware implementation of neurons and synapses of neuromorphic architectures. In particular, a single spintronic device ca…