activity
20092026
most citedReconfigurable Training and Reservoir Computing in an Artificial Spin-Vortex Ice via Spin-Wave Fingerprinting

190 citations · 1.4k across the 62 of their papers we have counts for

collaborators

66 papers

quant-ph2026

Temporal information processing on a 4,500-qubit quantum annealer

Antonio Sannia, Roberto Menta, Pratik Sathe +7

Quantum machine learning could uncover statistical structure beyond the reach of classical models, but this requires quantum models large and expressive enough to be useful and che…

cond-mat.stat-mech2023

On the combinatorics of Lotka-Volterra equations

Francesco Caravelli, Yen Ting Lin

We study an approach to obtaining the exact formal solution of the 2-species Lotka-Volterra equation based on combinatorics and generating functions. By employing a combination of…

cond-mat.stat-mech2023

Cycle equivalence classes, orthogonal Weingarten calculus, and the mean field theory of memristive systems

Francesco Caravelli

It has been recently noted that for a class of dynamical systems with explicit conservation laws represented via projector operators the dynamics can be understood in terms of lowe…

stat.AP2023★ 6 cited

Correlation between upstreamness and downstreamness in random global value chains

Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1

This paper is concerned with upstreamness and downstreamness of industries and countries. Upstreamness and downstreamness measure respectively the average distance of an industrial…

cond-mat.stat-mech2023★ 1 cited

Complex field reversal dynamics in nanomagnetic systems

Michael Saccone, Francesco Caravelli

Nanomagnetic materials, built from thin, patterned films of ferromagnetic materials, began as analogues to frustrated magnetism. Their low energy of operation and emergent properti…

cond-mat.soft2023★ 21 cited

Mean field theory of self-organizing memristive connectomes

Francesco Caravelli, Gianluca Milano, Carlo Ricciardi +1

Biological neuronal networks are characterized by nonlinear interactions and complex connectivity. Given the growing impetus to build neuromorphic computers, understanding physical…

cond-mat.mes-hall2022★ 33 cited

Neuromorphic Overparameterisation and Few-Shot Learning in Multilayer Physical Neural Networks

Kilian D. Stenning, Jack C. Gartside, Luca Manneschi +10

Physical neuromorphic computing, exploiting the complex dynamics of physical systems, has seen rapid advancements in sophistication and performance. Physical reservoir computing, a…

cond-mat.mes-hall2022★ 10 cited

From Vertices to Vortices in magnetic nanoislands

Michael Saccone, Jack C. Gartside, Kilian D. Stenning +2

Recent studies in magnetic nanolithography show that a variety of complex magnetic states emerge as a function of a single magnetic island's aspect ratio. We propose a model which,…

cond-mat.dis-nn2022★ 53 cited

Direct observation of a dynamical glass transition in a nanomagnetic artificial Hopfield network

Michael Saccone, Francesco Caravelli, Kevin Hofhuis +7

Spin glasses, generally defined as disordered systems with randomized competing interactions, are a widely investigated complex system. Theoretical models describing spin glasses a…

cond-mat.stat-mech2022★ 3 cited

Some exactly solvable and tunable frustrated spin models

Francesco Caravelli

We discuss three exactly solvable spin models of geometric frustration. First, we discuss a 1-parameter subfamily of the 16 vertex model, which can be mapped to a planar Ising mode…

cond-mat.stat-mech2022

Memristive effects in nanopatterned permalloy Kagomé array

Wesley B. J. Fonseca, Flavio Garcia, Francesco Caravelli +1

We study memristive effects in Kagomé nanopatterned permalloy. We observe that at low frequencies a thermistor effect is present, a phenomenon arising due to the lithography and ab…

math.DS2022★ 4 cited

Projective Embedding of Dynamical Systems: uniform mean field equations

Francesco Caravelli, Fabio L. Traversa, Michele Bonnin +1

We study embeddings of continuous dynamical systems in larger dimensions via projector operators. We call this technique PEDS, projective embedding of dynamical systems, as the sta…

cond-mat.stat-mech2022★ 1 cited

The Bellman equation and optimal local flipping strategies for kinetic Ising models

Francesco Caravelli

There is a deep connection between thermodynamics, information and work extraction. Ever since the birth of thermodynamics, various types of Maxwell demons have been introduced in…

cond-mat.stat-mech2021★ 8 cited

Macroscopic Magnetic Monopoles in a 3D-Printed Mechano-Magnet

Hamilton A. Teixeira, Maria F. Bernardo, Michael D. Saccone +3

The notion of magnetic monopoles has puzzled physicists since the introduction of Maxwell's Equations and famously Dirac had hypothesized them in the context of quantum mechanics.…

cond-mat.mes-hall2021

Anisotropic MagnetoMemristance

Francesco Caravelli, Ezio Iacocca, Gia-Wei Chern +2

In the last decade, nanoscale resistive devices with memory have been the subject of intense study because of their possible use in brain-inspired computing. However, operational e…

cond-mat.mes-hall2021★ 190 cited

Reconfigurable Training and Reservoir Computing in an Artificial Spin-Vortex Ice via Spin-Wave Fingerprinting

Jack C. Gartside, Kilian D. Stenning, Alex Vanstone +6

Strongly-interacting artificial spin systems are moving beyond mimicking naturally-occurring materials to emerge as versatile functional platforms, from reconfigurable magnonics to…

cond-mat.stat-mech2021

"Spectrally gapped" random walks on networks: a Mean First Passage Time formula

Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1

We derive an approximate but explicit formula for the Mean First Passage Time of a random walker between a source and a target node of a directed and weighted network. The formula…

cond-mat.mes-hall2021

Global minimization via classical tunneling assisted by collective force field formation

Francesco Caravelli, Forrest C. Sheldon, Fabio L. Traversa

Simple dynamical models can produce intricate behaviors in large networks. These behaviors can often be observed in a wide variety of physical systems captured by the network of in…

cond-mat.stat-mech2021★ 5 cited

On the Degeneracy of Spin Ice Graphs, and its Estimate via the Bethe Permanent

Francesco Caravelli, Michael Saccone, Cristiano Nisoli

The concept of spin ice can be extended to a general graph. We study the degeneracy of spin ice graph on arbitrary interaction structures via graph theory. Via the mapping of spin…

quant-ph2020★ 56 cited

Energy storage and coherence in closed and open quantum batteries

Francesco Caravelli, Bin Yan, Luis Pedro Garcia-Pintos +1

We study the role of coherence in closed and open quantum batteries. We obtain upper bounds to the work performed or energy exchanged by both closed and open quantum batteries in t…

quant-ph2020★ 35 cited

Random Matrix Theory of the Isospectral twirling

Salvatore F. E. Oliviero, Lorenzo Leone, Francesco Caravelli +1

We present a systematic construction of probes into the dynamics of isospectral ensembles of Hamiltonians by the notion of Isospectral twirling, expanding the scopes and methods of…

cond-mat.stat-mech2020★ 1 cited

Phases of memristive circuits via an interacting disorder approach

Francesco Caravelli, Forrest C. Sheldon

We study the phase diagram of memristive circuit models in the replica-symmetric case using a novel Lyapunov function for the dynamics of these devices. Effectively, the model we p…

nlin.AO2020★ 3 cited

Fully analog memristive circuits for optimization tasks: a comparison

Forrest C. Sheldon, Francesco Caravelli, Carleton Coffrin

We introduce a Lyapunov function for the dynamics of memristive circuits, and compare the effectiveness of memristors in minimizing the function to widely used optimization softwar…

physics.soc-ph2020★ 8 cited

Upstreamness and downstreamness in input-output analysis from local and aggregate information

Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1

Ranking sectors and countries within global value chains is of paramount importance to estimate risks and forecast growth in large economies. However, this task is often non-trivia…