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Main Authors: Tyler, Matthew, Zhou, Hengyun, Martin, Leigh S., Leitao, Nathaniel, Lukin, Mikhail D.
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2303.07374
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author Tyler, Matthew
Zhou, Hengyun
Martin, Leigh S.
Leitao, Nathaniel
Lukin, Mikhail D.
author_facet Tyler, Matthew
Zhou, Hengyun
Martin, Leigh S.
Leitao, Nathaniel
Lukin, Mikhail D.
contents We introduce a framework for designing Hamiltonian engineering pulse sequences that systematically accounts for the effects of higher-order contributions to the Floquet-Magnus expansion. Our techniques result in simple, intuitive decoupling rules, despite the higher-order contributions naively involving complicated, non-local-in-time commutators. We illustrate how these rules can be used to efficiently design improved Hamiltonian engineering pulse sequences for a wide variety of tasks, such as dynamical decoupling, quantum sensing, and quantum simulation.
format Preprint
id arxiv_https___arxiv_org_abs_2303_07374
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Higher-Order Methods for Hamiltonian Engineering Pulse Sequence Design
Tyler, Matthew
Zhou, Hengyun
Martin, Leigh S.
Leitao, Nathaniel
Lukin, Mikhail D.
Quantum Physics
Disordered Systems and Neural Networks
We introduce a framework for designing Hamiltonian engineering pulse sequences that systematically accounts for the effects of higher-order contributions to the Floquet-Magnus expansion. Our techniques result in simple, intuitive decoupling rules, despite the higher-order contributions naively involving complicated, non-local-in-time commutators. We illustrate how these rules can be used to efficiently design improved Hamiltonian engineering pulse sequences for a wide variety of tasks, such as dynamical decoupling, quantum sensing, and quantum simulation.
title Higher-Order Methods for Hamiltonian Engineering Pulse Sequence Design
topic Quantum Physics
Disordered Systems and Neural Networks
url https://arxiv.org/abs/2303.07374