1.3k citations · 2.1k across the 39 of their papers we have counts for
44 papers
Whither quantum advantage? New classical lower bounds for Max-Cut on large-girth 3-regular graphs
Flaviano Morone, Shivang Rawat, Dries Sels
Every 3-regular graph of girth at least has a cut containing at least a fraction of its edges, and the best rigorous bounds at large girth are $0.912\le \lim_{g\to\infty}…
Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks
Shivang Rawat, Mirko Morello, Flaviano Morone +1
Temporal integration gives continuous-time recurrent networks memory, but in deep stacks it also delays bottom-up signals and attenuates top-down errors. We develop Recursive Quadr…
A minimal mechanism to generate long timescales without fine tuning
Kathryn McClain, Shivang Rawat, Mia Morrell +3
Long timescales in brain dynamics give rise to power law correlations measured in experiments. A simple linear recurrent neural network model can reproduce this power law behavior,…
Absence of quantum advantage for approximate spin glass optimization
Dries Sels, Flaviano Morone
We perform a semiclassical, large-spin S, analysis of the quantum approximate optimization algorithm (QAOA) on the Sherrington-Kirkpatrick (SK) model, using the truncated Wigner ap…
Fundamental Limits of Stability Inference in High-Dimensional Complex Systems
Michela Costa, Kentaro Hoshisashi, Flaviano Morone +2
Many complex systems, including ecosystems, neural circuits, and financial markets, are inferred to operate close to a threshold of instability, at which a small perturbation can p…
Exact Variance and Fano Factor for Arbitrary Level Crossings in Stationary Gaussian Processes
Shivang Rawat, Flaviano Morone, David J. Heeger +1
Understanding the statistics of level crossings in stochastic processes is crucial across many scientific disciplines. The traditional Kac-Rice formula gives the mean rate of level…
Variational Iterative Rotation Algorithm: Combinatorial Optimization with Classical Kicked Tops
Flaviano Morone, Andrew D. Kent, Dries Sels
We investigate a classical formulation of the Quantum Approximate Optimization Algorithm (QAOA), realized as a Hamiltonian dynamical system of classical kicked tops, which we call…
Probabilistic approximate optimization using single-photon avalanche diode arrays
Ziyad Alswaidan, Abdelrahman S. Abdelrahman, Md Sakibur Sajal +9
Combinatorial optimization problems are central to science and engineering and specialized hardware from quantum annealers to classical Ising machines are being actively developed…
Switching Characteristics of Electrically Connected Stochastically Actuated Magnetic Tunnel Junction Nanopillars
Dairong Chen, Ahmed Sidi El Valli, Jonathan Z. Sun +3
We investigate the stochastic dynamics of nanoscale perpendicular magnetic tunnel junctions (pMTJs) and the correlations that arise when they are electrically coupled. Individual j…
Generalized Probabilistic Approximate Optimization Algorithm
Abdelrahman S. Abdelrahman, Shuvro Chowdhury, Flaviano Morone +1
We introduce a generalized \textit{Probabilistic Approximate Optimization Algorithm (PAOA)}, a classical variational Monte Carlo framework that extends and formalizes prior work by…
How low-cost AI universal approximators reshape market efficiency
Paolo Barucca, Flaviano Morone
The efficient market hypothesis (EMH) famously stated that prices fully reflect the information available to traders. This critically depends on the transfer of information into pr…
A Toffoli Gadget for Magnetic Tunnel Junctions Boltzmann Machines
Dairong Chen, Augustin Couton Wyporek, Pierre Chailloleau +6
Magnetic Tunnel Junctions (MTJs) are of great interest for non-conventional computing applications. The Toffoli gate is a universal reversible logic gate, enabling the construction…
Re-entrant phase transitions induced by localization of zero-modes
Flaviano Morone, Dries Sels
Common wisdom dictates that physical systems become less ordered when heated to higher temperature. However, several systems display the opposite phenomenon and move to a more orde…
Optimizing Hybrid Ferromagnetic Metal-Ferrimagnetic Insulator Spin-Hall Nano-Oscillators: A Micromagnetic Study
Robert Xi, Ya-An Lai, Andrew D. Kent
Spin-Hall nano-oscillators (SHNO) are nanoscale spintronic devices that generate high-frequency (GHz) microwave signals useful for various applications such as neuromorphic computi…
Predicting public market behavior from private equity deals
Paolo Barucca, Flaviano Morone
We process private equity transactions to predict public market behavior with a logit model. Specifically, we estimate our model to predict quarterly returns for both the broad mar…
Solving combinatorial optimization problems through stochastic Landau-Lifshitz-Gilbert dynamical systems
Dairong Chen, Andrew D. Kent, Dries Sels +1
We present a method to approximately solve general instances of combinatorial optimization problems using the physical dynamics of 3d rotors obeying Landau-Lifshitz-Gilbert dynamic…
Ranking species in complex ecosystems through nestedness maximization
Manuel Sebastian Mariani, Dario Mazzilli, Aurelio Patelli +1
Identifying the rank of species in a social or ecological network is a difficult task, since the rank of each species is invariably determined by complex interactions stipulated wi…
Unveiling Order from Chaos by approximate 2-localization of random matrices
Nicolas Loizeau, Flaviano Morone, Dries Sels
Quantum many-body systems are typically endowed with a tensor product structure. This structure is inherited from probability theory, where the probability of two independent event…
Equivalence between the Fitness-Complexity and the Sinkhorn-Knopp algorithms
Dario Mazzilli, Manuel Sebastian Mariani, Flaviano Morone +1
We uncover the connection between the Fitness-Complexity algorithm, developed in the economic complexity field, and the Sinkhorn-Knopp algorithm, widely used in diverse domains ran…
Clustering matrices through optimal permutations
Flaviano Morone
Matrices are two-dimensional data structures allowing one to conceptually organize information. For example, adjacency matrices are useful to store the links of a network; correlat…
Circuits with broken fibration symmetries perform core logic computations in biological networks
Ian Leifer, Flaviano Morone, Saulo D. S. Reis +3
We show that logic computational circuits in gene regulatory networks arise from a fibration symmetry breaking in the network structure. From this idea we implement a constructive…
Fibration symmetries uncover the building blocks of biological networks
Flaviano Morone, Ian Leifer, Hernan A. Makse
A major ambition of systems science is to uncover the building blocks of any biological network to decipher how cellular function emerges from their interactions. Here, we introduc…
Influencer identification in dynamical complex systems
Sen Pei, Jiannan Wang, Flaviano Morone +1
The integrity and functionality of many real-world complex systems hinge on a small set of pivotal nodes, or influencers. In different contexts, these influencers are defined as ei…
Symmetry group factorization reveals the structure-function relation in the neural connectome of Caenorhabditis elegans
Flaviano Morone, Hernan A. Makse
The neural connectome of the nematode Caenorhabditis elegans has been completely mapped, yet in spite of being one of the smallest connectomes (302 neurons), the design principles…