A feasible approach for automatically differentiable unitary coupled-cluster on quantum computers

  • We develop computationally affordable and encoding independent gradient evaluation procedures for unitary coupled-cluster type operators, applicable on quantum computers. We show that, within our framework, the gradient of an expectation value with respect to a parameterized n-fold fermionic excitation can be evaluated by four expectation values of similar form and size, whereas most standard approaches, based on the direct application of the parameter-shift-rule, come with an associated cost of O(2 2n) expectation values. For real wavefunctions, this cost can be further reduced to two expectation values. Our strategies are implemented within the open-source package Tequila and allow blackboard style construction of differentiable objective functions. We illustrate initial applications through extended adaptive approaches for electronic ground and excited states.

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Metadaten
Author:Jakob S. KottmannORCiDGND, Abhinav Anand, Alán Aspuru-Guzik
URN:urn:nbn:de:bvb:384-opus4-1019068
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/101906
ISSN:2041-6520OPAC
ISSN:2041-6539OPAC
Parent Title (English):Chemical Science
Publisher:Royal Society of Chemistry (RSC)
Place of publication:London
Type:Article
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2023/02/14
Tag:General Chemistry
Volume:12
Issue:10
First Page:3497
Last Page:3508
DOI:https://doi.org/10.1039/d0sc06627c
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Quantenalgorithmik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Sonstige Open-Access-Lizenz