117 citations · 756 across the 22 of their papers we have counts for
22 papers
A Fixed Universal Determinant is Variationally Complete for Continuum Fermions
Giuseppe Carleo, Riccardo Rossi
How many Slater determinants does an accurate variational description of interacting fermions require? Exact expansions in a finite basis need combinatorially many, and state-of-th…
Variational Quantum Time Evolution without the Quantum Geometric Tensor
Julien Gacon, Jannes Nys, Riccardo Rossi +2
The real- and imaginary-time evolution of quantum states are powerful tools in physics, chemistry, and beyond, to investigate quantum dynamics, prepare ground states or calculate t…
Learning ground states of gapped quantum Hamiltonians with Kernel Methods
Clemens Giuliani, Filippo Vicentini, Riccardo Rossi +1
Neural network approaches to approximate the ground state of quantum hamiltonians require the numerical solution of a highly nonlinear optimization problem. We introduce a statisti…
Variational Benchmarks for Quantum Many-Body Problems
Dian Wu, Riccardo Rossi, Filippo Vicentini +30
The continued development of computational approaches to many-body ground-state problems in physics and chemistry calls for a consistent way to assess its overall progress. In this…
Symmetry-broken perturbation theory to large orders in antiferromagnetic phases
R. Garioud, F. Šimkovic, R. Rossi +4
We introduce a spin-symmetry-broken extension of the connected determinant algorithm [Phys. Rev. Lett. 119, 045701 (2017)]. The resulting systematic perturbative expansions around…
Origin and fate of the pseudogap in the doped Hubbard model
Fedor Simkovic, Riccardo Rossi, Antoine Georges +1
We investigate the doped two-dimensional Hubbard model at finite temperature using controlled diagrammatic Monte Carlo calculations allowing for the computation of spectral propert…
Positive-definite parametrization of mixed quantum states with deep neural networks
Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo
We introduce the Gram-Hadamard Density Operator (GHDO), a new deep neural-network architecture that can encode positive semi-definite density operators of exponential rank with pol…
From Tensor Network Quantum States to Tensorial Recurrent Neural Networks
Dian Wu, Riccardo Rossi, Filippo Vicentini +1
We show that any matrix product state (MPS) can be exactly represented by a recurrent neural network (RNN) with a linear memory update. We generalize this RNN architecture to 2D la…
The Weak, the Strong and the Long Correlation Regimes of the Two-Dimensional Hubbard Model at Finite Temperature
Fedor Šimkovic, Riccardo Rossi, Michel Ferrero
We investigate the momentum-resolved spin and charge susceptibilities, as well as the chemical potential and double occupancy in the two-dimensional Hubbard model as functions of d…
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks
Dian Wu, Riccardo Rossi, Giuseppe Carleo
Efficient sampling of complex high-dimensional probability distributions is a central task in computational science. Machine learning methods like autoregressive neural networks, u…
High-order expansion around BCS theory
G. Spada, R. Rossi, F. Simkovic +4
We demonstrate that summation of connected diagrams to high order starting from a BCS hamiltonian is a viable generic unbiased approach for strongly correlated fermions in supercon…
Many-Configuration Markov-Chain Monte Carlo
Fedor Šimkovic, Riccardo Rossi
We propose a minimal generalization of the celebrated Markov-Chain Monte Carlo algorithm which allows for an arbitrary number of configurations to be visited at every Monte Carlo s…
Mott insulating states with competing orders in the triangular lattice Hubbard model
Alexander Wietek, Riccardo Rossi, Fedor Šimkovic +6
The physics of the triangular lattice Hubbard model exhibits a rich phenomenology, ranging from a metal-insulator transition, intriguing thermodynamic behavior, and a putative spin…
Efficient One-Loop-Renormalized Vertex Expansions with Connected Determinant Diagrammatic Monte Carlo
Fedor Šimkovic, Riccardo Rossi, Michel Ferrero
We present a technique that enables the evaluation of perturbative expansions based on one-loop-renormalized vertices up to large expansion orders. Specifically, we show how to com…
Renormalized perturbation theory at large expansion orders
Riccardo Rossi, Fedor Simkovic, Michel Ferrero
We present a general formalism that allows for the computation of large-order renormalized expansions in the spacetime representation, effectively doubling the numerically attainab…
High-precision numerical solution of the Fermi polaron problem and large-order behavior of its diagrammatic series
K. Van Houcke, F. Werner, R. Rossi
We introduce a simple determinant diagrammatic Monte Carlo algorithm to compute the ground-state properties of a particle interacting with a Fermi sea through a zero-range interact…
Direct sampling of the self-energy with Connected Determinant Monte Carlo
Riccardo Rossi
In this note, we present an efficient algorithm to sample directly the self-energy in the framework of the Connected Determinant technique. The introduction of the formalism of man…
Polynomial complexity despite the fermionic sign
R. Rossi, N. Prokof'ev, B. Svistunov +2
It is commonly believed that in quantum Monte Carlo approaches to fermionic many- body problems, the infamous sign problem generically implies prohibitively large computational tim…
Determinant Diagrammatic Monte Carlo in the Thermodynamic Limit
Riccardo Rossi
We present a simple trick that allows to consider the sum of all connected Feynman diagrams at fixed position of interaction vertices for general fermionic models. With our approac…
Shifted-Action Expansion and Applicability of Dressed Diagrammatic Schemes
Riccardo Rossi, Felix Werner, Nikolay Prokof'ev +1
While bare diagrammatic series are merely Taylor expansions in powers of interaction strength, dressed diagrammatic series, built on fully or partially dressed lines and vertices,…
Skeleton series and multivaluedness of the self-energy functional in zero space-time dimensions
Riccardo Rossi, Felix Werner
Recently, Kozik, Ferrero and Georges have discovered numerically that for a family of fundamental models of interacting fermions, the self-energy is a multi-valued functiona…
Contact and Momentum Distribution of the Unitary Fermi Gas
R. Rossi, T. Ohgoe, E. Kozik +4
A key quantity in strongly-interacting resonant Fermi gases is the contact , which characterizes numerous properties such as the momentum distribution at large momenta…