147 citations · 988 across the 37 of their papers we have counts for
8 papers · 1 filter
Local fermion-to-qudit mappings: a practical recipe for four-level systems
Rodolfo Carobene, Stefano Barison, Andrea Giachero +1
In this paper, we present a new set of local fermion-to-qudit mappings for simulating fermionic lattice systems. We focus on the use of multi-level qudits, specifically ququarts. T…
Predicting Topological Entanglement Entropy in a Rydberg analog simulator
Linda Mauron, Zakari Denis, Jannes Nys +1
Predicting the dynamical properties of topological matter is a challenging task, not only in theoretical and experimental settings, but also numerically. This work proposes a varia…
Real-time quantum dynamics of thermal states with neural thermofields
Jannes Nys, Zakari Denis, Giuseppe Carleo
Solving the time-dependent quantum many-body Schrödinger equation is a challenging task, especially for states at a finite temperature, where the environment affects the dynamics.…
Message-Passing Neural Quantum States for the Homogeneous Electron Gas
Gabriel Pescia, Jannes Nys, Jane Kim +2
We introduce a message-passing-neural-network-based wave function Ansatz to simulate extended, strongly interacting fermions in continuous space. Symmetry constraints, such as cont…
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…
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…
Quantum circuits for solving local fermion-to-qubit mappings
Jannes Nys, Giuseppe Carleo
Local Hamiltonians of fermionic systems on a lattice can be mapped onto local qubit Hamiltonians. Maintaining the locality of the operators comes at the expense of increasing the H…
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
Filippo Vicentini, Damian Hofmann, Attila Szabó +8
We introduce version 3 of NetKet, the machine learning toolbox for many-body quantum physics. NetKet is built around neural-network quantum states and provides efficient algorithms…