33 citations · 131 across the 17 of their papers we have counts for
19 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…
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…
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…
Integrated probabilistic computer using voltage-controlled magnetic tunnel junctions as its entropy source
Christian Duffee, Jordan Athas, Yixin Shao +6
Probabilistic Ising machines (PIMs) provide a path to solving many computationally hard problems more efficiently than deterministic algorithms on von Neumann computers. Stochastic…
A design of magnetic tunnel junctions for the deployment of neuromorphic hardware for edge computing
Davi Rodrigues, Eleonora Raimondo, Riccardo Tomasello +2
The electrically readable complex dynamics of robust and scalable magnetic tunnel junctions (MTJs) offer promising opportunities for advancing neuromorphic computing. In this work,…
Nanoscale spin rectifiers for harvesting ambient radiofrequency energy
Raghav Sharma, Tung Ngo, Eleonora Raimondo +10
Radiofrequency harvesting using ambient wireless energy could be used to reduce the carbon footprint of electronic devices. However, ambient radiofrequency energy is weak (less tha…
A magneto-mechanical accelerometer based on magnetic tunnel junctions
Andrea Meo, Francesca Garescì, Victor Lopez-Dominguez +6
Accelerometers have widespread applications and are an essential component in many areas such as automotive, consumer electronics and industrial applications. Most commercial accel…
Manipulation of magnetic solitons under the influence of DMI gradients
Rayan Moukhader, Davi Rodrigues, Eleonora Raimondo +6
Magnetic solitons are promising for applications due to their intrinsic properties such as small size, topological stability, ultralow power manipulation and potentially ultrafast…
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…
Field-driven collapsing dynamics of skyrmions in magnetic multilayers
R. Tomasello, Z. Wang, E. Raimondo +5
Magnetic skyrmions are fascinating topological particle-like textures promoted by a trade-off among interfacial properties (perpendicular anisotropy and Dzyaloshinskii-Moriya inter…
Temperature gradient-driven magnetic skyrmion motion
Eleonora Raimondo, Elias Saugar, Joseph Barker +7
The static and dynamic properties of skyrmions have recently received increased attention due to the potential application of skyrmions as information carriers and for unconvention…
Computing with injection-locked spintronic diodes
Luciano Mazza, Vito Puliafito, Eleonora Raimondo +4
Spintronic diodes (STDs) are emerging as a technology for the realization of high-performance microwave detectors. The key advantages of such devices are their high sensitivity, ca…
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…