Adaptive Pauli Shadows for Energy Estimation

Locally-biased classical shadows allow rapid estimation of energies of quantum Hamiltonians. Recently, derandomised classical shadows have emerged claiming to be even more accurate. This accuracy comes at a cost of introducing classical computing resources into the energy estimation procedure. This...

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Bibliographic Details
Published inarXiv.org
Main Author Hadfield, Charles
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 25.05.2021
Subjects
Adaptive algorithms
Shadows
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Summary:Locally-biased classical shadows allow rapid estimation of energies of quantum Hamiltonians. Recently, derandomised classical shadows have emerged claiming to be even more accurate. This accuracy comes at a cost of introducing classical computing resources into the energy estimation procedure. This present note shows, by adding a fraction of this classical computing resource to the locally-biased classical shadows setting, that the modified algorithm, termed Adaptive Pauli Shadows is state-of-the-art for energy estimation.
ISSN:2331-8422