<manifestation xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:tucdl="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/" xmlns="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/" keyIdentifier="http://purl.tuc.gr/dl/dias/846E4277-F1EA-44C8-8C58-3C6D99616A8D" xsi:schemaLocation="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/ http://purl.tuc.gr/dl/dias/schemas/aip/tucdl"><titleOfTheManifestation>Gan_et_al_EPJ Quantum Technol._9(1)_2022.pdf</titleOfTheManifestation><isEmbodimentOf entityType="Expression"><uri>http://purl.tuc.gr/dl/dias/4515EAC3-A012-49E4-9D7A-4D2F0C81D639</uri><title xml:lang="en">Fock state-enhanced expressivity of quantum machine learning models</title></isEmbodimentOf><accessRestrictionOnTheManifestation>free</accessRestrictionOnTheManifestation><dateOfPublicationDistribution>2023-07-19</dateOfPublicationDistribution><formOfCarrier>application/pdf</formOfCarrier><extentOfTheCarrier xml:lang="en">3.3 MB</extentOfTheCarrier></manifestation>