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quant-ph2024
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
Afrad Basheer, Yuan Feng, Christopher Ferrie +2
We prove that using global observables to train the matrix product state ansatz results in the vanishing of all partial derivatives, also known as barren plateaus, while using loca…
quant-ph2024★ 1 cited
Principal eigenstate classical shadows
Daniel Grier, Hakop Pashayan, Luke Schaeffer
Given many copies of an unknown quantum state , we consider the task of learning a classical description of its principal eigenstate. Namely, assuming that has an eigenstate…