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20132026
most citedEstimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models

118 citations · 570 across the 36 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

math.NA2020★ 1 cited

Lattice meets lattice: Application of lattice cubature to models in lattice gauge theory

Tobias Hartung, Karl Jansen, Frances Y. Kuo +3

High dimensional integrals are abundant in many fields of research including quantum physics. The aim of this paper is to develop efficient recursive strategies to tackle a class o…

quant-ph2020★ 55 cited

Dimensional Expressivity Analysis of Parametric Quantum Circuits

Lena Funcke, Tobias Hartung, Karl Jansen +2

Parametric quantum circuits play a crucial role in the performance of many variational quantum algorithms. To successfully implement such algorithms, one must design efficient quan…

hep-lat2020★ 118 cited

Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models

Kim A. Nicoli, Christopher J. Anders, Lena Funcke +5

In this work, we demonstrate that applying deep generative machine learning models for lattice field theory is a promising route for solving problems where Markov Chain Monte Carlo…

quant-ph2020★ 67 cited

Measurement Error Mitigation in Quantum Computers Through Classical Bit-Flip Correction

Lena Funcke, Tobias Hartung, Karl Jansen +3

We develop a classical bit-flip correction method to mitigate measurement errors on quantum computers. This method can be applied to any operator, any number of qubits, and any rea…

hep-lat2020

Avoiding the sign-problem in lattice field theory

Tobias Hartung, Karl Jansen, Hernan Leövey +1

In lattice field theory, the interactions of elementary particles can be computed via high-dimensional integrals. Markov-chain Monte Carlo (MCMC) methods based on importance sampli…