{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T08:32:38Z","timestamp":1786696358876,"version":"3.56.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032031006","type":"print"},{"value":"9783032031013","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"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\/978-3-032-03101-3_22","type":"book-chapter","created":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T04:42:39Z","timestamp":1761885759000},"page":"309-319","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Variational Quantum Eigensolver-Based CaaS Business Model for V2G"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4512-4878","authenticated-orcid":false,"given":"Desh Deepak","family":"Sharma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramesh C.","family":"Bansal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeremy","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,11,1]]},"reference":[{"key":"22_CR1","doi-asserted-by":"publisher","unstructured":"Kea, K., Huot, C., Han, Y.: Leveraging knapsack QAOA approach for optimal electric vehicle charging. IEEE Access 11, (9109964\u2013109973) (2023). https:\/\/doi.org\/10.1109\/ACCESS.2023.3320800","DOI":"10.1109\/ACCESS.2023.3320800"},{"key":"22_CR2","doi-asserted-by":"publisher","unstructured":"Lohmiller, N., Kaniewski, S., Menth, M., Heer, T.: A survey of post-quantum cryptography migration in vehicles. IEEE Access, 13, (10160\u201310176) (2025). https:\/\/doi.org\/10.1109\/ACCESS.2025.3528562","DOI":"10.1109\/ACCESS.2025.3528562"},{"key":"22_CR3","doi-asserted-by":"publisher","unstructured":"Morstyn, T.: Annealing-based quantum computing for combinatorial optimal power flow. IEEE Trans. Smart Grid, 14(2), (1093\u20131102) (2023). https:\/\/doi.org\/10.1109\/TSG.2022.3200590","DOI":"10.1109\/TSG.2022.3200590"},{"key":"22_CR4","doi-asserted-by":"publisher","unstructured":"Khalid, H., et al.: RAVEN: robust anonymous vehicular end-to-end encryption and efficient mutual authentication for post-quantum intelligent transportation systems. IEEE Trans. Intell. Transp. Syst. 25(11), 17574\u201317586 (2024). https:\/\/doi.org\/10.1109\/TITS.2024.3416060","DOI":"10.1109\/TITS.2024.3416060"},{"key":"22_CR5","doi-asserted-by":"crossref","unstructured":"Xu, H., Zhang, A., Wang, Q., Hu, Y., Fang, F., Cheng, L.: Quantum Reinforcement Learning for real-time optimization in electric vehicle charging systems. Appl. Energy, 383, (125279) (2025). ISSN 0306\u20132619","DOI":"10.1016\/j.apenergy.2025.125279"},{"key":"22_CR6","doi-asserted-by":"publisher","unstructured":"Rao, P.U., Sodhi, B.: Hybrid quantum-classical solution for electric vehicle charger placement problem.\u00a0Soft Comput.\u00a027, 13347\u201313363 (2023). https:\/\/doi.org\/10.1007\/s00500-022-07478-x","DOI":"10.1007\/s00500-022-07478-x"},{"key":"22_CR7","doi-asserted-by":"publisher","first-page":"125279","DOI":"10.1016\/j.apenergy.2025.125279","volume":"383","author":"X Hairun","year":"2025","unstructured":"Hairun, X., Zhang, A., Wang, Q., Yang, H., Fang, F., Cheng, L.: Quantum reinforcement learning for real-time optimization in electric vehicle charging systems. Appl. Energy 383, 125279 (2025)","journal-title":"Appl. Energy"},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Kern, D., Krau\u00df, C., Lauser, T., Alnahawi, N., Wiesmaier, A., Niederhagen, R.: Post-Quantum Cryptography for Electric Vehicle Charging (2023)","DOI":"10.1007\/978-3-031-33491-7_4"},{"issue":"2","key":"22_CR9","doi-asserted-by":"publisher","first-page":"1093","DOI":"10.1109\/TSG.2022.3200590","volume":"14","author":"T Morstyn","year":"2023","unstructured":"Morstyn, T.: Annealing-based quantum computing for combinatorial optimal power flow. IEEE Trans. Smart Grid 14(2), 1093\u20131102 (2023). https:\/\/doi.org\/10.1109\/TSG.2022.3200590","journal-title":"IEEE Trans. Smart Grid"},{"issue":"4","key":"22_CR10","doi-asserted-by":"publisher","first-page":"5167","DOI":"10.1109\/TVT.2022.3225524","volume":"72","author":"M Kumar","year":"2023","unstructured":"Kumar, M., Dohare, U., Kumar, S., Kumar, N.: Blockchain based optimized energy trading for e-mobility using quantum reinforcement learning. IEEE Trans. Veh. Technol. 72(4), 5167\u20135180 (2023). https:\/\/doi.org\/10.1109\/TVT.2022.3225524","journal-title":"IEEE Trans. Veh. Technol."},{"key":"22_CR11","doi-asserted-by":"publisher","first-page":"10160","DOI":"10.1109\/ACCESS.2025.3528562","volume":"13","author":"N Lohmiller","year":"2025","unstructured":"Lohmiller, N., Kaniewski, S., Menth, M., Heer, T.: A survey of post-quantum cryptography migration in vehicles. IEEE Access 13, 10160\u201310176 (2025). https:\/\/doi.org\/10.1109\/ACCESS.2025.3528562","journal-title":"IEEE Access"},{"key":"22_CR12","doi-asserted-by":"publisher","unstructured":"Jing, H., Wang, Y., Li, Y., Du, L., Wu, Z.: Dynamics analysis of microgrids integrated with EV charging stations based on quantum approximate optimization algorithm. In: 2022 IEEE Transportation Electrification Conference & Expo (ITEC), pp. 574\u2013578. Anaheim, CA, USA (2022). https:\/\/doi.org\/10.1109\/ITEC53557.2022.9813820","DOI":"10.1109\/ITEC53557.2022.9813820"},{"key":"22_CR13","doi-asserted-by":"publisher","unstructured":"Federer, M., M\u00fcssig, D., Klaiber, S., Lenk, S.: Application-oriented quantum computing benchmark for an electromobility use case. In: 2022 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 749\u2013752. Broomfield, CO, USA (2022). https:\/\/doi.org\/10.1109\/QCE53715.2022.00105","DOI":"10.1109\/QCE53715.2022.00105"},{"key":"22_CR14","doi-asserted-by":"publisher","first-page":"23216","DOI":"10.1038\/s41598-024-73512-7","volume":"14","author":"Z Kaseb","year":"2024","unstructured":"Kaseb, Z., M\u00f6ller, M., Vergara, P.P., et al.: Power flow analysis using quantum and digital annealers: a discrete combinatorial optimization approach. Sci. Rep. 14, 23216 (2024). https:\/\/doi.org\/10.1038\/s41598-024-73512-7","journal-title":"Sci. Rep."},{"key":"22_CR15","doi-asserted-by":"publisher","unstructured":"Subramanian, N., Alali, H.J., Bin Ghaith Alsuwaidi, A.R.: EV charger placement optimization using D-Wave quantum computing solvers. In: 2023 IEEE International Smart Cities Conference (ISC2), pp. 1\u20134. Bucharest, Romania (2023). https:\/\/doi.org\/10.1109\/ISC257844.2023.10293427","DOI":"10.1109\/ISC257844.2023.10293427"},{"key":"22_CR16","doi-asserted-by":"publisher","unstructured":"Mansouri, N., et al.: Control and optimization of hydrogen hybrid electric vehicles using GPS-based speed estimation. Electronics, 14(1), 110 (2025). https:\/\/doi.org\/10.3390\/electronics14010110","DOI":"10.3390\/electronics14010110"},{"key":"22_CR17","doi-asserted-by":"publisher","unstructured":"Ilahi, T., et al.: Comprehensive design analysis of economical e-bike charger with IoT-empowered system for real-time parameter monitoring. J. Adv. Transp. 2387983. Advance Online Publication (2025). https:\/\/doi.org\/10.1155\/2024\/2387983","DOI":"10.1155\/2024\/2387983"}],"container-title":["Lecture Notes in Computer Science","Energy Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-03101-3_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,14]],"date-time":"2026-08-14T08:17:22Z","timestamp":1786695442000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-03101-3_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,1]]},"ISBN":["9783032031006","9783032031013"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-03101-3_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,1]]},"assertion":[{"value":"1 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EIA Nordic","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nordic Energy Informatics Academy Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Stockholm","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","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":"20 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 August 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":"nordic eia2025a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.nordicenergyinformatics.academy\/2025eianordic","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}