338 citations · 1.2k across the 20 of their papers we have counts for
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quant-ph2022★ 16 cited
Scalably learning quantum many-body Hamiltonians from dynamical data
Frederik Wilde, Augustine Kshetrimayum, Ingo Roth +3
The physics of a closed quantum mechanical system is governed by its Hamiltonian. However, in most practical situations, this Hamiltonian is not precisely known, and ultimately all…
quant-ph2022★ 152 cited
Computational advantage of quantum random sampling
Dominik Hangleiter, Jens Eisert
Quantum random sampling is the leading proposal for demonstrating a computational advantage of quantum computers over classical computers. Recently, first large-scale implementatio…