190 citations · 1.4k across the 62 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
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…
Ranking influential nodes in networks from partial information
Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1
Many complex systems exhibit a natural hierarchy in which elements can be ranked according to a notion of "influence". While the complete and accurate knowledge of the interactions…
Forest expansion of two-body partition functions for sparse interaction graphs
Francesco Caravelli
We study tree approximations to classical two-body partition functions on sparse and loopy graphs via the Brydges-Kennedy-Abdessalam-Rivasseau forest expansion. We show that for sp…
The Computational Capacity of LRC, Memristive and Hybrid Reservoirs
Forrest C. Sheldon, Artemy Kolchinsky, Francesco Caravelli
Reservoir computing is a machine learning paradigm that uses a high-dimensional dynamical system, or \emph{reservoir}, to approximate and predict time series data. The scale, speed…