211 citations · 557 across the 14 of their papers we have counts for
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quant-ph2020★ 84 cited
A measurement-based variational quantum eigensolver
Ryan R. Ferguson, Luca Dellantonio, Karl Jansen +3
Variational quantum eigensolvers (VQEs) combine classical optimization with efficient cost function evaluations on quantum computers. We propose a new approach to VQEs using the pr…
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…