117 citations · 756 across the 22 of their papers we have counts for
5 papers · 1 filter
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…
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…