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20182021
most citedExploiting Landscape Geometry to Enhance Quantum Optimal Control

30 citations · 30 across the 2 of their papers we have counts for

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quant-ph20241 cited

Random ensembles of symplectic and unitary states are indistinguishable

Maxwell West, Antonio Anna Mele, Martin Larocca +1

A unitary state -design is an ensemble of pure quantum states whose moments match up to the -th order those of states uniformly sampled from a -dimensional Hilbert space.…

quant-ph2021

Loschmidt echo approach to Krylov-subspace approximation error estimation

Julian Ruffinelli, Emiliano Fortes, Martín Larocca +1

The Krylov subspace method is a standard approach to approximate quantum evolution, allowing to treat systems with large Hilbert spaces. Although its application is general, and su…

quant-ph2020

K-GRAPE: A Krylov Subspace approach for the efficient control of quantum many-body dynamics

Martin Larocca, Diego Wisniacki

The Gradient Ascent Pulse Engineering (GRAPE) is a celebrated control algorithm with excellent converging rates, owing to a piece-wise-constant ansatz for the control function that…

quant-ph2020

Quantum metrology in a non-Markovian quantum evolution

Nicolás Mirkin, Martin Larocca, Diego Wisniacki

The problem of quantum metrology under the context of a particular non-Markovian quantum evolution is explored. We study the dynamics of the quantum Fisher information (QFI) of a c…

quant-ph2020

Navigating on Quantum Control Solution Subspaces

Martin Larocca, Esteban A. Calzetta, Diego A. Wisniacki

Quantum Optimal Control (QOC) is the field devoted to the production of external control protocols that actively guide quantum dynamics. Solutions to QOC problems were shown to con…

quant-ph201930 cited

Exploiting Landscape Geometry to Enhance Quantum Optimal Control

Martin Larocca, Esteban A. Calzetta, Diego A. Wisniacki

The successful application of Quantum Optimal Control (QOC) over the past decades unlocked the possibility of directing the dynamics of quantum systems. Nevertheless, solutions obt…