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20182025
most citedGaussian Process States: A data-driven representation of quantum many-body physics

17 citations · 83 across the 13 of their papers we have counts for

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quant-ph2025

pyTTN: An Open Source Toolbox for Open and Closed System Quantum Dynamics Simulations Using Tree Tensor Networks

Lachlan P Lindoy, Daniel Rodrigo-Albert, Yannic Rath +1

We present the Python Tree Tensor Network package (pyTTN) for the evaluation of dynamical properties of closed and open quantum systems that makes use of Tree Tensor Network (TTN),…

quant-ph2024★ 2 cited

Simple Fermionic backflow states via a systematically improvable tensor decomposition

Massimo Bortone, Yannic Rath, George H. Booth

We present an effective ansatz for the wave function of correlated electrons that brings closer the fields of machine learning parameterizations and tensor rank decompositions. We…

quant-ph2023

Bayesian Modelling Approaches for Quantum States -- The Ultimate Gaussian Process States Handbook

Yannic Rath

Capturing the correlation emerging between constituents of many-body systems accurately is one of the key challenges for the appropriate description of various systems whose proper…

quant-ph2023★ 9 cited

Impact of conditional modelling for a universal autoregressive quantum state

Massimo Bortone, Yannic Rath, George H. Booth

We present a generalized framework to adapt universal quantum state approximators, enabling them to satisfy rigorous normalization and autoregressive properties. We also introduce…

quant-ph2018★ 7 cited

Prominent interference peaks in the dephasing Anderson model

Yannic Rath, Florian Mintert

The Anderson model with decoherence features a temporal evolution from localized eigenstates to a uniform spatial distribution bar any interference features. We discuss the growth…