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20142025
most citedNetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

147 citations · 988 across the 37 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

quant-ph2023

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.…

physics.comp-ph2023★ 3 cited

Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation

Kirill Neklyudov, Jannes Nys, Luca Thiede +4

Solving the quantum many-body Schrödinger equation is a fundamental and challenging problem in the fields of quantum physics, quantum chemistry, and material sciences. One of the c…

cond-mat.quant-gas2023★ 4 cited

Neural-network quantum states for ultra-cold Fermi gases

Jane Kim, Gabriel Pescia, Bryce Fore +5

Ultra-cold Fermi gases display diverse quantum mechanical properties, including the transition from a fermionic superfluid BCS state to a bosonic superfluid BEC state, which can be…

quant-ph2023★ 48 cited

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…

quant-ph2023★ 29 cited

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…

quant-ph2023★ 67 cited

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…