Giuseppe Carleo

Q: What Schools Are Affiliated With Giuseppe Carleo

Giuseppe Carleo is affiliated with the following schools: Scuola Normale Superiore di Pisa, Consorzio ICoN, ETH Zurich, École Polytechnique Fédérale de Lausanne

Giuseppe Carleo's AcademicInfluence.com Rankings

Giuseppe Carleo

Physics

#8304

World Rank

#10484

Historical Rank

physics Degrees

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Physics

Giuseppe Carleo's Degrees

PhD Physics Scuola Normale Superiore di Pisa
Masters Physics Consorzio ICoN
Bachelors Physics Consorzio ICoN

Why Is Giuseppe Carleo Influential?

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According to Wikipedia, Giuseppe Carleo is an Italian physicist. He is a professor of computational physics at EPFL and the head of the Laboratory of Computational Quantum Science. Career Carleo studied physics at the Sapienza University of Rome and in 2011 earned his PhD in theoretical physics at the International School for Advanced Studies under the supervision of Stefano Baroni. His thesis on "Spectral and dynamical properties of strongly correlated systems" was dedicated to novel numerical simulation techniques to study condensed-matter systems, such as the time-dependent variational Monte Carlo.

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Giuseppe Carleo's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Solving the quantum many-body problem with artificial neural networks (2016) (1333)
Machine learning and the physical sciences (2019) (975)
Neural-network quantum state tomography (2018) (456)
Quantum Natural Gradient (2019) (233)
Neural-Network Approach to Dissipative Quantum Many-Body Dynamics. (2019) (149)
Quantum Simulators: Architectures and Opportunities (2019) (146)
Localization and Glassy Dynamics Of Many-Body Quantum Systems (2011) (136)
Constructing exact representations of quantum many-body systems with deep neural networks (2018) (126)
Fermionic neural-network states for ab-initio electronic structure (2019) (121)
Restricted Boltzmann machines in quantum physics (2019) (121)
Deep autoregressive models for the efficient variational simulation of many-body quantum systems (2019) (119)
Symmetries and Many-Body Excitations with Neural-Network Quantum States. (2018) (116)
Two-dimensional frustrated J1−J2 model studied with neural network quantum states (2019) (105)
Light-cone effect and supersonic correlations in one- and two-dimensional bosonic superfluids (2013) (78)
Nonstoquastic Hamiltonians and quantum annealing of an Ising spin glass (2016) (69)
NetKet: A machine learning toolkit for many-body quantum systems (2019) (65)
Neural-network Quantum States (2018) (61)
Learning hard quantum distributions with variational autoencoders (2017) (59)
Quench-induced breathing mode of one-dimensional Bose gases. (2013) (55)
An efficient quantum algorithm for the time evolution of parameterized circuits (2021) (52)
Neural-network states for the classical simulation of quantum computing (2018) (45)
Classical variational simulation of the Quantum Approximate Optimization Algorithm (2020) (43)
Universal scaling laws for correlation spreading in quantum systems with short- and long-range interactions (2017) (43)
Precise measurement of quantum observables with neural-network estimators (2019) (43)
Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information (2021) (42)
Spreading of correlations in exactly solvable quantum models with long-range interactions in arbitrary dimensions (2016) (42)
Protected quasi-locality in quantum systems with long-range interactions (2015) (40)
Mott transition for strongly interacting one-dimensional bosons in a shallow periodic potential (2015) (40)
Broken-Symmetry Ground States of the Heisenberg Model on the Pyrochlore Lattice (2021) (33)
Gauge equivariant neural networks for quantum lattice gauge theories (2020) (27)
Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states (2020) (27)
Variational Monte Carlo Calculations of A≤4 Nuclei with an Artificial Neural-Network Correlator Ansatz. (2020) (27)
Quantum process tomography with unsupervised learning and tensor networks (2020) (25)
Deep Learning the Hohenberg-Kohn Maps of Density Functional Theory. (2019) (23)
Universal superfluid transition and transport properties of two-dimensional dirty bosons. (2013) (23)
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems (2021) (22)
Bose-Einstein condensation in quantum glasses. (2009) (20)
Natural evolution strategies and variational Monte Carlo (2020) (19)
Neural tensor contractions and the expressive power of deep neural quantum states (2021) (19)
Single-atom-resolved probing of lattice gases in momentum space (2017) (18)
Modern applications of machine learning in quantum sciences (2022) (16)
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks (2021) (16)
Ground state phase diagram of the one-dimensional Bose-Hubbard model from restricted Boltzmann machines (2019) (16)
Neural-Network Quantum States for Periodic Systems in Continuous Space (2021) (15)
Itinerant ferromagnetic phase of the Hubbard model (2010) (15)
Fermionic wave functions from neural-network constrained hidden states (2021) (15)
Unitary Dynamics of Strongly Interacting Bose Gases with the Time-Dependent Variational Monte Carlo Method in Continuous Space (2016) (14)
Role of stochastic noise and generalization error in the time propagation of neural-network quantum states (2021) (10)
Nuclei with Up to A = 6 Nucleons with Artiﬁcial Neural Network Wave Functions (2021) (8)
Reptation quantum Monte Carlo algorithm for lattice Hamiltonians with a directed-update scheme. (2010) (8)
Ab-initio quantum chemistry with neural-network wavefunctions (2022) (8)
From Tensor Network Quantum States to Tensorial Recurrent Neural Networks (2022) (7)
Nuclei with Up to $$\varvec{A=6}$$ Nucleons with Artificial Neural Network Wave Functions (2021) (6)
Spectral and dynamical properties of strongly correlated systems (2011) (6)
Zero-temperature dynamics of solidH4efrom quantum Monte Carlo simulations (2009) (6)
Continuous-variable neural network quantum states and the quantum rotor model (2021) (6)
Natural evolution strategies and quantum approximate optimization (2020) (5)
Variational dynamics as a ground-state problem on a quantum computer (2022) (5)
Erratum: Quench-Induced Breathing Mode of One-Dimensional Bose Gases [Phys. Rev. Lett. 113, 035301 (2014)]. (2016) (5)
Symmetries and many-body excited states with neural-network quantum states (2018) (4)
Variational solutions to fermion-to-qubit mappings in two spatial dimensions (2022) (4)
Neural-network quantum state tomography for many-body systems (2017) (4)
Entanglement Forging with generative neural network models (2022) (3)
Algorithmic Phases in Variational Quantum Ground-State Preparation (2022) (3)
Fermionic neural-network states for ab-initio electronic structure (2020) (3)
Matrix product states with backflow correlations (2022) (3)
Variational Benchmarks for Quantum Many-Body Problems (2023) (2)
Positive-definite parametrization of mixed quantum states with deep neural networks (2022) (2)
A rapidly mixing Markov chain from any gapped quantum many-body system (2022) (2)
Hidden-nucleons neural-network quantum states for the nuclear many-body problem (2022) (2)
Exponential challenges in unbiasing quantum Monte Carlo algorithms with quantum computers (2022) (2)
NetKet: Amachine learning toolkit formany-body quantum systems (2019) (1)
Light-Cone Effect and Supersonic Correlations in Bosonic Superfluids (2013) (1)
Mott Transition for Strongly-Interacting 1D Bosons in a Shallow Periodic Potential (2020) (1)
Quantum circuits for solving local fermion-to-qubit mappings (2022) (1)
Hamiltonian reconstruction as metric for variational studies (2021) (1)
Frustrated magnets and fermions with Neural Network Quantum States (2020) (0)
Classical variational simulation of the Quantum Approximate Optimization Algorithm (2021) (0)
Accurate Variational Description of Adiabatic Quantum Optimization (2016) (0)
Report on 2011.11214v1 (2021) (0)
Restricted Boltzmann machines in quantum physics (2019) (0)
Dilute neutron star matter from neural-network quantum states (2022) (0)
Interaction quenches in Bose gases studied with a time-dependent hypernetted-chain Euler-Lagrange method (2022) (0)
Scaling of the light-cone in the time evolution of long-range interacting quantum spin-chains (2018) (0)
Learning hard quantum distributions with variational autoencoders (2018) (0)
Constructing exact representations of quantum many-body systems with deep neural networks (2018) (0)
Codebase release 3.4 for NetKet (2022) (0)
– Supplemental Material – Protected quasi-locality in quantum systems with long-range interactions (2015) (0)
About that useful little corner of Hilbert space and its neural network representations (2020) (0)
Neural-network quantum state tomography (2018) (0)
qu an tph ] 4 S ep 2 01 9 Quantum Natural Gradient (2019) (0)
Learning ground states of gapped quantum Hamiltonians with Kernel Methods (2023) (0)
Variational wave function approach to quantum quenches in bosonic systems (2011) (0)
Querying quantum computers with neural networks: precise measurements and noise reduction (2020) (0)
Variational Quantum Time Evolution without the Quantum Geometric Tensor (2023) (0)
Neural-Network Quantum States: from Condensed Matter to Quantum Computing (2018) (0)
Dynamics of correlations in long-range quantum systems follwing a quantum quench (2017) (0)
Phenomenological Theory of Variational Quantum Ground-State Preparation (2022) (0)

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What Schools Are Affiliated With Giuseppe Carleo?

Giuseppe Carleo is affiliated with the following schools:

Giuseppe Carleo's Academic­Influence.com Rankings