332 citations · 1.9k across the 33 of their papers we have counts for
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quant-ph2022★ 78 cited
Barren plateaus in quantum tensor network optimization
Enrique Cervero Martín, Kirill Plekhanov, Michael Lubasch
We analyze the barren plateau phenomenon in the variational optimization of quantum circuits inspired by matrix product states (qMPS), tree tensor networks (qTTN), and the multisca…
quant-ph2022★ 84 cited
Classically optimized Hamiltonian simulation
Conor Mc Keever, Michael Lubasch
Hamiltonian simulation is a promising application for quantum computers to achieve a quantum advantage. We present classical algorithms based on tensor network methods to optimize…