Elisa Ercolessi

Prof. Elisa Ercolessi

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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 June 2020 in Quantum
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Journal Article
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GMGiuseppe Magnifico
Giuseppe Magnifico
MDMarcello Dalmonte
Marcello Dalmonte
PFPaolo Facchi
Paolo Facchi
SPSaverio Pascazio
Saverio Pascazio
Francesco V. PepeFrancesco V. Pepe
Francesco V. Pepe
EEElisa Ercolessi
Elisa Ercolessi
We study the out-of-equilibrium properties of 1+1 dimensional quantum electrodynamics (QED), discretized via the staggered-fermion Schwinger model with an Abelian Zn gauge group. We look at two relevant phenomena: first, we analyze the stability of the Dirac vacuum with respect to particle/antiparticle pair production, both spontaneous and induced by an external electric field; then, we examine the string breaking mechanism. We observe a strong effect of confinement, which acts by suppressing both spontaneous pair production and string breaking into quark/antiquark pairs, indicating that the system dynamics displays a number of out-of-equilibrium features.

27 October 2016 in SciPost Physics
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PNPiero Naldesi
Piero Naldesi
EEElisa Ercolessi
Elisa Ercolessi
TRTommaso Roscilde
Tommaso Roscilde
The many-body localization (MBL) transition is a quantum phase transition involving highly excited eigenstates of a disordered quantum many-body Hamiltonian, which evolve from “extended/ergodic" (exhibiting extensive entanglement entropies and fluctuations) to “localized" (exhibiting area-law scaling of entanglement and fluctuations). The MBL transition can be driven by the strength of disorder in a given spectral range, or by the energy density at fixed disorder – if the system possesses a many-body mobility edge. Here we propose to explore the latter mechanism by using “quantum-quench spectroscopy", namely via quantum quenches of variable width which prepare the state of the system in a superposition of eigenstates of the Hamiltonian within a controllable spectral region. Studying numerically a chain of interacting spinless fermions in a quasi-periodic potential, we argue that this system has a many-body mobility edge; and we show that its existence translates into a clear dynamical transition in the time evolution immediately following a quench in the strength of the quasi-periodic potential, as well as a transition in the scaling properties of the quasi-stationary state at long times. Our results suggest a practical scheme for the experimental observation of many-body mobility edges using cold-atom setups.

25 September 2019 in Physical Review B
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GMGiuseppe Magnifico
Giuseppe Magnifico
DVD. Vodola
D. Vodola
EEElisa Ercolessi
Elisa Ercolessi
SKS. P. Kumar
S. P. Kumar
MMM. Müller
M. Müller
ABA. Bermudez
A. Bermudez
We present a detailed study of the topological Schwinger model [ Phys. Rev. D 99, 014503 (2019)], which describes (1+1) quantum electrodynamics of an Abelian U(1) gauge field coupled to a symmetry-protected topological matter sector, by means of a class of ZN lattice gauge theories. Employing density-matrix renormalization group techniques that exactly implement Gauss' law, we show that these models host a correlated topological phase for different values of N, where fermion correlations arise through interparticle interactions mediated by the gauge field. Moreover, by a careful finite-size scaling, we show that this phase is stable in the large-N limit and that the phase boundaries are in accordance with bosonization predictions of the U(1) topological Schwinger model. Our results demonstrate that ZN finite-dimensional gauge groups offer a practical route for an efficient classical simulation of equilibrium properties of electromagnetism with topological fermions. Additionally, we describe a scheme for the quantum simulation of a topological Schwinger model exploiting spin-changing collisions in boson-fermion mixtures of ultracold atoms in optical lattices. Although technically challenging, this quantum simulation would provide an alternative to classical density-matrix renormalization group techniques, providing also an efficient route to explore real-time nonequilibrium phenomena.

29 September 2022 in Physics
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Maria BondaniMaria Bondani
Maria Bondani
Maria Luisa ChiofaloMaria Luisa Chiofalo
Maria Luisa Chiofalo
EEElisa Ercolessi
Elisa Ercolessi
Chiara MacchiavelloChiara Macchiavello
Chiara Macchiavello
Massimiliano MalgieriMassimiliano Malgieri
Massimiliano Malgieri
GZGiacomo Zuccarini
Giacomo Zuccarini
Stimulated by the European project “QTEdu CSA”, within the flagship “Quantum Technologies”, a community of researchers active in the fields of quantum technologies and physics education has designed and implemented an extracurricular course on quantum physics concepts and quantum technologies applications for high school. The course, which featured eight interactive lectures, was organized online between March and May 2021 and attended by about 250 students from all over Italy. In this paper, we describe the main tenets and activities of the course. Moreover, we report on the effectiveness of the course on students’ knowledge of the basic concepts of quantum physics and students’ views about epistemic aspects and applications of quantum technologies. Results show that the designed activities were effective in improving students’ knowledge about fundamental aspects of quantum mechanics and familiarizing them with quantum technology applications.

19 January 2023 in SciPost Physics
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STSimone Tibaldi
Simone Tibaldi
GMGiuseppe Magnifico
Giuseppe Magnifico
DVDavide Vodola
Davide Vodola
EEElisa Ercolessi
Elisa Ercolessi
The recent advances in machine learning algorithms have boosted the application of these techniques to the field of condensed matter physics, in order e.g. to classify the phases of matter at equilibrium or to predict the real-time dynamics of a large class of physical models. Typically in these works, a machine learning algorithm is trained and tested on data coming from the same physical model. Here we demonstrate that unsupervised and supervised machine learning techniques are able to predict phases of a non-exactly solvable model when trained on data of a solvable model. In particular, we employ a training set made by single-particle correlation functions of a non-interacting quantum wire and by using principal component analysis, k-means clustering, t-distributed stochastic neighbor embedding and convolutional neural networks we reconstruct the phase diagram of an interacting superconductor. We show that both the principal component analysis and the convolutional neural networks trained on the data of the non-interacting model can identify the topological phases of the interacting model. Our findings indicate that non-trivial phases of matter emerging from the presence of interactions can be identified by means of unsupervised and supervised techniques applied to data of non-interacting systems.

14 March 2022 in Physical Review Physics Education Research
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SSSara Satanassi
Sara Satanassi
EEElisa Ercolessi
Elisa Ercolessi
OLOlivia Levrini
Olivia Levrini
The article sets out to contribute to the educational challenge launched by the second quantum revolution. An approach to quantum computing has been outlined for secondary school students. The approach is shaped as a set of four principles that have been pointed out to design instructional materials to enhance the educational and cultural potential of quantum computing, beyond the technical aspects. In the paper, following a presentation of the design principles, we focus on an activity on quantum teleportation protocol. The activity is described in detail to show how the principles have been concretely implemented. A pilot study with a small sample of secondary school students has been carried out to evaluate the potential of the approach. The results, although preliminary, show that the approach appears to be promising in creating an inclusive and productive learning environment, in which students feel encouraged to search for personal ways to combine different levels of discourse (narrative, logical, mathematical, technical-experimental) and generate meaningful descriptions of the phenomenon.