September 27, 2026 Dataset Open Access

Over, Paul; Bengoechea, Sergio; Borello Busilacchi, Leonardo; Kiffner, Martin; Rung, Thomas; Michailidis, Alexios A.

JSON-LD (schema.org) Export

{"@context":"https://schema.org/","@id":"http://doi.org/10.25592/uhhfdm.21872","@type":"Dataset","creator":[{"@id":"https://orcid.org/0000-0001-7436-5254","@type":"Person","affiliation":"Institute for Fluid Dynamics and Ship Theory, Hamburg University of Technology, 21073 Hamburg, Germany","name":"Over, Paul"},{"@id":"https://orcid.org/0009-0001-8205-5878","@type":"Person","affiliation":"Institute for Fluid Dynamics and Ship Theory, Hamburg University of Technology, 21073 Hamburg, Germany","name":"Bengoechea, Sergio"},{"@id":"https://orcid.org/0009-0009-7755-382X","@type":"Person","affiliation":"PlanQC GmbH, D-85748 Garching, Germany","name":"Borello Busilacchi, Leonardo"},{"@id":"https://orcid.org/0000-0002-8321-6768","@type":"Person","affiliation":"PlanQC GmbH, D-85748 Garching, Germany","name":"Kiffner, Martin"},{"@id":"https://orcid.org/0000-0002-3454-1804","@type":"Person","affiliation":"Institute for Fluid Dynamics and Ship Theory, Hamburg University of Technology, 21073 Hamburg, Germany","name":"Rung, Thomas"},{"@id":"https://orcid.org/0000-0002-8443-1064","@type":"Person","affiliation":"PlanQC GmbH, D-85748 Garching, Germany","name":"Michailidis,  Alexios A."}],"datePublished":"2026-09-27","description":"<p>The data refers to an operator learning protocol that compiles discrete&nbsp;operators into compact quantum circuits, for which a pre-print is&nbsp;available via <a href=\"https://arxiv.org/abs/2606.20184\">arXiv:2606.20184</a>.&nbsp;The approach learns a layered sequence of local multi-qubit gates by&nbsp;backpropagation combined with a unitary retraction, allows the qubit&nbsp;connectivity of the target hardware to be taken into account, and&nbsp;represents non-unitary operators by a block encoding with a single&nbsp;ancilla qubit. The examples include propagators of the transverse-field&nbsp;Ising model and of the Pariser&ndash;Parr&ndash;Pople model of butadiene, which are&nbsp;compared with Suzuki&ndash;Trotter expansions, as well as the finite-difference&nbsp;approximation of the second derivative for one- and two-dimensional&nbsp;qubit topologies and a dense operator arising from a panel method for&nbsp;the inviscid flow around an airfoil. The repository contains one archive&nbsp;per experiment (exp1.zip &ndash; exp4.zip).</p>","distribution":[{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/a32d4d6e-e91a-4b02-a29c-e70960c2593e/exp1.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/a32d4d6e-e91a-4b02-a29c-e70960c2593e/exp2.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/a32d4d6e-e91a-4b02-a29c-e70960c2593e/exp3.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/a32d4d6e-e91a-4b02-a29c-e70960c2593e/exp4.zip","encodingFormat":"zip"},{"@type":"DataDownload","contentUrl":"https://www.fdr.uni-hamburg.de/api/files/a32d4d6e-e91a-4b02-a29c-e70960c2593e/README.md","encodingFormat":"md"}],"identifier":"http://doi.org/10.25592/uhhfdm.21872","keywords":["Quantum Operator Learning","Qubit Connectivity","Matrix Encoding","Quantum Circuits Synthesis"],"license":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Operator Learning for efficient Quantum Computation","url":"https://www.fdr.uni-hamburg.de/record/21872","version":"v2"}