{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T17:27:57Z","timestamp":1784050077042,"version":"3.55.0"},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T00:00:00Z","timestamp":1645488000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T00:00:00Z","timestamp":1645488000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"pudong new area science and technology development fund","award":["PKX2020-R17"],"award-info":[{"award-number":["PKX2020-R17"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Quantum Inf Process"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s11128-022-03442-8","type":"journal-article","created":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T07:02:42Z","timestamp":1645513362000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["RGB image classification with quantum convolutional ansatz"],"prefix":"10.1007","volume":"21","author":[{"given":"Yu","family":"Jing","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaogang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chonghang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenbing","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0317-2257","authenticated-orcid":false,"given":"Hua","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,2,22]]},"reference":[{"issue":"1","key":"3442_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41534-019-0235-y","volume":"6","author":"G Garc\u00eda-P\u00e9rez","year":"2020","unstructured":"Garc\u00eda-P\u00e9rez, G., et al.: Ibm q experience as a versatile experimental testbed for simulating open quantum systems. npj Quantum Inf. 6(1), 1\u201310 (2020)","journal-title":"npj Quantum Inf."},{"issue":"13","key":"3442_CR2","doi-asserted-by":"publisher","first-page":"130503","DOI":"10.1103\/PhysRevLett.113.130503","volume":"113","author":"P Rebentrost","year":"2014","unstructured":"Rebentrost, P., et al.: Quantum support vector machine for big data classification. Phys. Rev. Lett. 113(13), 130503 (2014)","journal-title":"Phys. Rev. Lett."},{"issue":"3\u20134","key":"3442_CR3","first-page":"318","volume":"15","author":"N Wiebe","year":"2015","unstructured":"Wiebe, N., et al.: Quantum nearest-neighbor algorithms for machine learning. Quantum Inf. Comput. 15(3\u20134), 318\u2013358 (2015)","journal-title":"Quantum Inf. Comput."},{"key":"3442_CR4","unstructured":"Lloyd,S., et\u00a0al.: Quantum algorithms for supervised and unsupervised machine learning. arXiv:1307.0411, (2013)"},{"key":"3442_CR5","unstructured":"Simonyan,K., Zisserman,A.: Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556, (2014)"},{"key":"3442_CR6","doi-asserted-by":"crossref","unstructured":"He,K., et\u00a0al.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778, (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"12","key":"3442_CR7","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1038\/s41567-019-0648-8","volume":"15","author":"I Cong","year":"2019","unstructured":"Cong, I., et al.: Quantum convolutional neural networks. Nat. Phys. 15(12), 1273\u20131278 (2019)","journal-title":"Nat. Phys."},{"key":"3442_CR8","unstructured":"Liu,J., et\u00a0al.: Hybrid quantum-classical convolutional neural networks. arXiv:1911.02998, (2019)"},{"key":"3442_CR9","doi-asserted-by":"crossref","unstructured":"Oh,S. et\u00a0al.: A tutorial on quantum convolutional neural networks (qcnn). In: 2020 International Conference on Information and Communication Technology Convergence (ICTC), pp. 236\u2013239. IEEE, (2020)","DOI":"10.1109\/ICTC49870.2020.9289439"},{"issue":"4","key":"3442_CR10","doi-asserted-by":"publisher","first-page":"044010","DOI":"10.1088\/2058-9565\/abb8e4","volume":"5","author":"F Tacchino","year":"2020","unstructured":"Tacchino, F., et al.: Quantum implementation of an artificial feed-forward neural network. Quantum Sci. Technol. 5(4), 044010 (2020)","journal-title":"Quantum Sci. Technol."},{"issue":"1","key":"3442_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s42484-020-00025-7","volume":"3","author":"C Zhao","year":"2021","unstructured":"Zhao, C., Gao, X.-S.: Qdnn: deep neural networks with quantum layers. Quantum Mach. Intell. 3(1), 1\u20139 (2021)","journal-title":"Quantum Mach. Intell."},{"key":"3442_CR12","unstructured":"Stein,S.A., et\u00a0al.: Quclassi: A hybrid deep neural network architecture based on quantum state fidelity. arXiv:2103.11307, (2021)"},{"key":"3442_CR13","doi-asserted-by":"crossref","unstructured":"Jiang,W., et\u00a0al.: A co-design framework of neural networks and quantum circuits towards quantum advantage. arXiv:2006.14815, (2020)","DOI":"10.1038\/s41467-020-20729-5"},{"key":"3442_CR14","doi-asserted-by":"crossref","unstructured":"Yeti\u015f,H., Karak\u00f6se,M.: Quantum circuits for binary convolution. In: 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), pp. 1\u20135. IEEE, (2020)","DOI":"10.1109\/ICDABI51230.2020.9325659"},{"key":"3442_CR15","doi-asserted-by":"crossref","unstructured":"Pesah,A., et\u00a0al.: Absence of barren plateaus in quantum convolutional neural networks. arXiv:2011.02966, (2020)","DOI":"10.1103\/PhysRevX.11.041011"},{"issue":"2","key":"3442_CR16","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1007\/s42354-021-0330-z","volume":"5","author":"C Gonzalez","year":"2021","unstructured":"Gonzalez, C.: Cloud based qc with amazon braket. Digitale Welt 5(2), 14\u201317 (2021)","journal-title":"Digitale Welt"},{"key":"3442_CR17","unstructured":"Kunfeng kungang hybrid classical-quantum cloud platform. https:\/\/kfquantum.com\/"},{"key":"3442_CR18","unstructured":"Russell,J.:Ibm breaks 100-qubit qpu barrier, marks milestones on ambitious roadmap. https:\/\/www.hpcwire.com\/2021\/12\/13\/ibm-breaks-100-qubit-qpu-barrier-marks-milestones-on-ambitious-roadmap\/"}],"container-title":["Quantum Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11128-022-03442-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11128-022-03442-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11128-022-03442-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T02:16:17Z","timestamp":1648606577000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11128-022-03442-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,22]]},"references-count":18,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["3442"],"URL":"https:\/\/doi.org\/10.1007\/s11128-022-03442-8","relation":{},"ISSN":["1570-0755","1573-1332"],"issn-type":[{"value":"1570-0755","type":"print"},{"value":"1573-1332","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,22]]},"assertion":[{"value":"4 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 January 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 February 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"101"}}