{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T09:38:56Z","timestamp":1769765936555,"version":"3.49.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032159304","type":"print"},{"value":"9783032159311","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-15931-1_4","type":"book-chapter","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T18:12:52Z","timestamp":1769710372000},"page":"46-59","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Quantum Diffusion Models for\u00a0Few-Shot Learning"],"prefix":"10.1007","author":[{"given":"Ruhan","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5220-1830","authenticated-orcid":false,"given":"Ye","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1712-2966","authenticated-orcid":false,"given":"Jing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2578-5372","authenticated-orcid":false,"given":"Toshiaki","family":"Koike-Akino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,30]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"K\u00f6lle, M., et\u00a0al.: Quantum denoising diffusion models. arXiv preprint arXiv:2401.07049 (2024)","DOI":"10.1109\/QSW62656.2024.00023"},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Parigi, M., Martina, S., Caruso, F.: Quantum-noise-driven generative diffusion models. Advanced Quantum Technologies, 2300401 (2024)","DOI":"10.1002\/qute.202300401"},{"issue":"1","key":"4_CR3","doi-asserted-by":"publisher","first-page":"4919","DOI":"10.1038\/s41467-022-32550-3","volume":"13","author":"MC Caro","year":"2022","unstructured":"Caro, M.C., et al.: Generalization in quantum machine learning from few training data\u2019\u2019. Nat. Commun. 13(1), 4919 (2022)","journal-title":"Nat. Commun."},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Li, A.C., et\u00a0al.: Your diffusion model is secretly a zero-shot classifier. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (2023)","DOI":"10.1109\/ICCV51070.2023.00210"},{"key":"4_CR5","unstructured":"Clark, K., Jaini, P.: Text-to-image diffusion models are zero shot classifiers. Advances in Neural Information Processing Systems 36 (2024)"},{"issue":"3","key":"4_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3386252","volume":"53","author":"Y Wang","year":"2020","unstructured":"Wang, Y., et al.: Generalizing from a few examples: a survey on few-shot learning. ACM Comput. Surv. (csur) 53(3), 1\u201334 (2020)","journal-title":"ACM Comput. Surv. (csur)"},{"issue":"4","key":"4_CR7","doi-asserted-by":"publisher","DOI":"10.1088\/2058-9565\/acf1c7","volume":"8","author":"R Wang","year":"2023","unstructured":"Wang, R., Richerme, P., Chen, F.: A hybrid quantum-classical neural network for learning transferable visual representation. Quantum Science and Technology 8(4), 045021 (2023)","journal-title":"Quantum Science and Technology"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Liu, M., et\u00a0al.: Embedding learning in hybrid quantum-classical neural networks. In: 2022 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE (2022)","DOI":"10.1109\/QCE53715.2022.00026"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Wang, R., Baba-Yara, F., Chen, F.: JustQ: automated deployment of fair and accurate quantum neural networks. In: 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC). IEEE (2024)","DOI":"10.1109\/ASP-DAC58780.2024.10473829"},{"issue":"1","key":"4_CR10","doi-asserted-by":"publisher","first-page":"79","DOI":"10.3905\/jod.2020.1.111","volume":"28","author":"S Focardi","year":"2020","unstructured":"Focardi, S., Fabozzi, F.J., Mazza, D.: Quantum option pricing and quantum finance. J. Deriv. 28(1), 79\u201398 (2020)","journal-title":"J. Deriv."},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Parsons, D.F.: Possible medical and biomedical uses of quantum computing. Neuroquantology 9.3 (2011)","DOI":"10.14704\/nq.2011.9.3.412"},{"issue":"6","key":"4_CR12","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1147\/JRD.2018.2888987","volume":"62","author":"Y Cao","year":"2018","unstructured":"Cao, Y., Romero, J., Aspuru-Guzik, A.: Potential of quantum computing for drug discovery. IBM J. Res. Dev. 62(6), 6\u20131 (2018)","journal-title":"IBM J. Res. Dev."},{"key":"4_CR13","doi-asserted-by":"publisher","first-page":"79","DOI":"10.22331\/q-2018-08-06-79","volume":"2","author":"J Preskill","year":"2018","unstructured":"Preskill, J.: Quantum computing in the NISQ era and beyond. Quantum 2, 79 (2018)","journal-title":"Quantum"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Chu, C., et\u00a0al.: QMLP: an error-tolerant nonlinear quantum MLP architecture using parameterized two-qubit gates. In: Proceedings of the ACM\/IEEE International Symposium on Low Power Electronics and Design (2022)","DOI":"10.1145\/3531437.3539719"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Wang, H., et\u00a0al.: Quantumnat: quantum noise-aware training with noise injection, quantization and normalization. In: Proceedings of the 59th ACM\/IEEE Design Automation Conference (2022)","DOI":"10.1145\/3489517.3530400"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Patel, T., Silver, D., Tiwari, D.: OPTIC: a practical quantum binary classifier for near-term quantum computers. In: 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2022","DOI":"10.23919\/DATE54114.2022.9774707"},{"issue":"12","key":"4_CR17","doi-asserted-by":"publisher","first-page":"1900070","DOI":"10.1002\/qute.201900070","volume":"2","author":"S Sim","year":"2019","unstructured":"Sim, S., Johnson, P.D., Aspuru-Guzik, A.: Expressibility and entangling capability of parameterized quantum circuits for hybrid quantum-classical algorithms. Advanced Quantum Technologies 2(12), 1900070 (2019)","journal-title":"Advanced Quantum Technologies"},{"key":"4_CR18","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Adv. Neural. Inf. Process. Syst. 33, 6840\u20136851 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"4_CR19","unstructured":"Song, J., Meng, C., Ermon, S.: Denoising diffusion implicit models. arXiv preprint arXiv:2010.02502 (2020)"},{"key":"4_CR20","unstructured":"Bergholm, V., et\u00a0al.: Pennylane: Automatic differentiation of hybrid quantum-classical computations. arXiv preprint arXiv:1811.04968 (2018)"},{"issue":"11","key":"4_CR21","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., et al.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"4_CR22","unstructured":"Xiao, H., Rasul, K., Vollgraf, R.: Fashion-MNIST: a novel image dataset for benchmarking machine learning algorithms,\u201d arXiv preprint arXiv:1708.07747 (2017)"},{"key":"4_CR23","doi-asserted-by":"crossref","unstructured":"Sun, Q., et\u00a0al.: Meta-transfer learning for few-shot learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2019)","DOI":"10.1109\/CVPR.2019.00049"},{"key":"4_CR24","unstructured":"Parnami, A., Lee, M.: Learning from few examples: a summary of approaches to few-shot learning. arXiv preprint arXiv:2203.04291 (2022)"},{"issue":"1","key":"4_CR25","first-page":"1","volume":"9","author":"F Alimo\u011flu","year":"2001","unstructured":"Alimo\u011flu, F., Alpaydin, E.: Combining multiple representations for pen-based handwritten digit recognition. Turk. J. Electr. Eng. Comput. Sci. 9(1), 1\u201312 (2001)","journal-title":"Turk. J. Electr. Eng. Comput. Sci."},{"key":"4_CR26","doi-asserted-by":"crossref","unstructured":"Hu, T., et al.: AnomalyDiffusion: few-shot anomaly image generation with diffusion model. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, No. 8, pp. 8526\u20138534, March 2024","DOI":"10.1609\/aaai.v38i8.28696"},{"key":"4_CR27","doi-asserted-by":"crossref","unstructured":"Zhang, B., et\u00a0al.: MetaDiff: Meta-learning with conditional diffusion for few-shot learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38. No. 15 (2024)","DOI":"10.1609\/aaai.v38i15.29608"}],"container-title":["Communications in Computer and Information Science","Quantum Computing and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-15931-1_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T18:12:55Z","timestamp":1769710375000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-15931-1_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032159304","9783032159311"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-15931-1_4","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"30 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"QC+AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Quantum Computing and Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Philadelphia, PA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 March 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 March 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"qcai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/view\/qcai2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}