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Eine Ebene höherGruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 4
2024
Kölle, Michael; Witter, Timo; Rohe, Tobias; Stenzel, Gerhard; Altmann, Philipp 
ORCID: https://orcid.org/0000-0003-1134-176X und Gabor, Thomas ORCID: https://orcid.org/0000-0003-2048-8667
(2024):
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning.
QSW 2024: IEEE International Conference on Quantum Software, Shenzhen, China, 7. - 13. Juli 2024.
Chang, Rong N.; Chang, Carl K.; Yang, Jingwei; Jin, Zhi; Sheng, Michael; Fan, Jing; Fletcher, Kenneth; He, Qiang; Faro, Ismael; Leymann, Frank; Barzen, Johanna; Feld, Sebastian; Puente, Salvador de la; Wimmer, Manuel; Atukorala, Nimanthi; Wu, Hongyue; Elkouss, David; Garcia-Alonso, Jose und Sarkar, Aritra (Hrsg.):
In: Proceedings 2024 IEEE International Conference on Quantum Software : IEEE QSW 2024,
Los Alamitos: IEEE Computer Society. S. 157-167
ORCID: https://orcid.org/0000-0003-1134-176X und Gabor, Thomas ORCID: https://orcid.org/0000-0003-2048-8667
(2024):
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning.
QSW 2024: IEEE International Conference on Quantum Software, Shenzhen, China, 7. - 13. Juli 2024.
Chang, Rong N.; Chang, Carl K.; Yang, Jingwei; Jin, Zhi; Sheng, Michael; Fan, Jing; Fletcher, Kenneth; He, Qiang; Faro, Ismael; Leymann, Frank; Barzen, Johanna; Feld, Sebastian; Puente, Salvador de la; Wimmer, Manuel; Atukorala, Nimanthi; Wu, Hongyue; Elkouss, David; Garcia-Alonso, Jose und Sarkar, Aritra (Hrsg.):
In: Proceedings 2024 IEEE International Conference on Quantum Software : IEEE QSW 2024,
Los Alamitos: IEEE Computer Society. S. 157-167
Kölle, Michael; Stenzel, Gerhard; Stein, Jonas ORCID: https://orcid.org/0000-0001-5727-9151; Zielinski, Sebastian ORCID: https://orcid.org/0009-0000-0894-8996; Ommer, Bjorn und Linnhoff-Popien, Claudia ORCID: https://orcid.org/0000-0001-6284-9286
(2024):
Quantum Denoising Diffusion Models.
QSW 2024: IEEE International Conference on Quantum Software, Shenzhen, China, 07. - 13. July 2024.
Chang, Rong N.; Chang, Carl K.; Yang, Jingwei; Jin, Zhi; Sheng, Michael; Fan, Jing; Fletcher, Kenneth; He, Qiang; Faro, Ismael; Leymann, Frank; Barzen, Johanna; Puente, Salvador de la; Feld, Sebastian; Wimmer, Manuel; Atukorala, Nimanthi; Wu, Hongyue; Elkouss, David; Garcia-Alonso, Jose und Sarkar, Aritra (Hrsg.):
In: Proceedings 2024 IEEE International Conference on Quantum Software : IEEE QSW 2024,
Los Alamitos: IEEE. S. 88-98
ORCID: https://orcid.org/0000-0001-5727-9151; Zielinski, Sebastian ORCID: https://orcid.org/0009-0000-0894-8996; Ommer, Bjorn und Linnhoff-Popien, Claudia ORCID: https://orcid.org/0000-0001-6284-9286
(2024):
Quantum Denoising Diffusion Models.
QSW 2024: IEEE International Conference on Quantum Software, Shenzhen, China, 07. - 13. July 2024.
Chang, Rong N.; Chang, Carl K.; Yang, Jingwei; Jin, Zhi; Sheng, Michael; Fan, Jing; Fletcher, Kenneth; He, Qiang; Faro, Ismael; Leymann, Frank; Barzen, Johanna; Puente, Salvador de la; Feld, Sebastian; Wimmer, Manuel; Atukorala, Nimanthi; Wu, Hongyue; Elkouss, David; Garcia-Alonso, Jose und Sarkar, Aritra (Hrsg.):
In: Proceedings 2024 IEEE International Conference on Quantum Software : IEEE QSW 2024,
Los Alamitos: IEEE. S. 88-98
2023
He, Qiang; Wang, Wenjing; Xiong, Yang; Tao, Chuanyuan; Ma, Lu; Ma, Junpeng; You, Chao; Anttila, Verneri; Artto, Ville; Belin, Andrea C.; Bjornsdottir, Anna; Bjornsdottir, Gyda; Boomsma, Dorret I.; Børte, Sigrid; Chalmer, Mona A.; Chasman, Daniel I.; Cormand, Bru; Cuenca-Leon, Ester; Davey-Smith, George; Boer, Irene de; Dichgans, Martin ORCID: https://orcid.org/0000-0002-0654-387X; Esko, Tonu; Freilinger, Tobias; Gormley, Padhraig; Griffiths, Lyn R.; Hämäläinen, Eija; Hansen, Thomas F.; Harder, Aster V. E.; Hautakangas, Heidi; Hiekkala, Marjo; Hrafnsdottir, Maria G.; Ikram, M. Arfan; Järvelin, Marjo-Riitta; Kajanne, Risto; Kallela, Mikko; Kaprio, Jaakko; Kaunisto, Mari; Kogelman, Lisette J. A.; Kristoffersen, Espen S.; Kubisch, Christian; Kurki, Mitja; Kurth, Tobias; Launer, Lenore; Lehtimäki, Terho; Lessel, Davor; Ligthart, Lannie; Magnusson, Sigurdur H.; Malik, Rainer; Müller-Myhsok, Bertram; Northover, Carrie; Nyholt, Dale R.; Olesen, Jes; Palotie, Aarno; Palta, Priit; Pedersen, Linda M.; Pedersen, Nancy; Pirinen, Matti; Posthuma, Danielle; Pozo-Rosich, Patricia; Pressman, Alice; Raitakari, Olli; Ran, Caroline; Sigurdardottir, Gudrun R.; Stefansson, Hreinn; Stefansson, Kari; Sveinsson, Olafur A.; Terwindt, Gisela M.; Thorgeirsson, Thorgeir E.; Maagdenberg, Arn M. J. M. van den; Duijn, Cornelia van; Wessman, Maija; Winsvold, Bendik S. und Zwart, John-Anker
(2023):
A causal effects of gut microbiota in the development of migraine.
In: Journal of Headache and Pain, Bd. 24, 90
[PDF, 7MB]
ORCID: https://orcid.org/0000-0002-0654-387X; Esko, Tonu; Freilinger, Tobias; Gormley, Padhraig; Griffiths, Lyn R.; Hämäläinen, Eija; Hansen, Thomas F.; Harder, Aster V. E.; Hautakangas, Heidi; Hiekkala, Marjo; Hrafnsdottir, Maria G.; Ikram, M. Arfan; Järvelin, Marjo-Riitta; Kajanne, Risto; Kallela, Mikko; Kaprio, Jaakko; Kaunisto, Mari; Kogelman, Lisette J. A.; Kristoffersen, Espen S.; Kubisch, Christian; Kurki, Mitja; Kurth, Tobias; Launer, Lenore; Lehtimäki, Terho; Lessel, Davor; Ligthart, Lannie; Magnusson, Sigurdur H.; Malik, Rainer; Müller-Myhsok, Bertram; Northover, Carrie; Nyholt, Dale R.; Olesen, Jes; Palotie, Aarno; Palta, Priit; Pedersen, Linda M.; Pedersen, Nancy; Pirinen, Matti; Posthuma, Danielle; Pozo-Rosich, Patricia; Pressman, Alice; Raitakari, Olli; Ran, Caroline; Sigurdardottir, Gudrun R.; Stefansson, Hreinn; Stefansson, Kari; Sveinsson, Olafur A.; Terwindt, Gisela M.; Thorgeirsson, Thorgeir E.; Maagdenberg, Arn M. J. M. van den; Duijn, Cornelia van; Wessman, Maija; Winsvold, Bendik S. und Zwart, John-Anker
(2023):
A causal effects of gut microbiota in the development of migraine.
In: Journal of Headache and Pain, Bd. 24, 90
[PDF, 7MB]
2022
Qian, Jing; Liu, Hongbo; Qian, Li; Bauer, Jonas; Xue, Xiaobai; Yu, Gongliang; He, Qiang; Zhou, Qi; Bi, Yonghong und Norra, Stefan
(2022):
Water quality monitoring and assessment based on cruise monitoring, remote sensing, and deep learning: A case study of Qingcaosha Reservoir.
In: Frontiers in Environmental Science, Bd. 10, 979133