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Tobias Haug

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2020 – today

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2024
[i9]
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  - journals/corr/abs-2407-11607
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Nikhil Bansal, Wai-Keong Mok, Kishor Bharti, Dax Enshan Koh, Tobias Haug:
Pseudorandom density matrices. CoRR abs/2407.11607 (2024)
[i8]
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  - journals/corr/abs-2408-10073
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Oliver Cory, Ozge Mercanoglu Sincan, Matthew Vowels, Alessia Battisti, Franz Holzknecht, Katja Tissi, Sandra Sidler-Miserez, Tobias Haug, Sarah Ebling, Richard Bowden:
Modelling the Distribution of Human Motion for Sign Language Assessment. CoRR abs/2408.10073 (2024)
2023
[j5]
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Tobias Haug, Chris N. Self, M. S. Kim:
Quantum machine learning of large datasets using randomized measurements. Mach. Learn. Sci. Technol. 4(1): 15005 (2023)
[j4]
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Tobias Haug, Lorenzo Piroli:
Stabilizer entropies and nonstabilizerness monotones. Quantum 7: 1092 (2023)
[i7]
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  - journals/corr/abs-2303-13462
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Tobias Haug, M. S. Kim:
Generalization with quantum geometry for learning unitaries. CoRR abs/2303.13462 (2023)
[i6]
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  - journals/corr/abs-2306-11677
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Tobias Haug, Kishor Bharti, Dax Enshan Koh:
Pseudorandom unitaries are neither real nor sparse nor noise-robust. CoRR abs/2306.11677 (2023)
2022
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Tobias Haug, Sarah Ebling, Katja Tissi, Sandra Sidler-Miserez, Penny Boyes Braem:
Development of a Technology-Assisted Assessment for Sign Language Learning. Int. J. Emerg. Technol. Learn. 17(6): 39-56 (2022)
2021
[j2]
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Tobias Haug, Wai-Keong Mok, Jia-Bin You, Wenzu Zhang, Ching Eng Png, Leong-Chuan Kwek:
Classifying global state preparation via deep reinforcement learning. Mach. Learn. Sci. Technol. 2(1): 01 (2021)
[i5]
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  - journals/corr/abs-2101-08448
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Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, Tobias Haug, Sumner Alperin-Lea, Abhinav Anand, Matthias Degroote, Hermanni Heimonen, Jakob S. Kottmann, Tim Menke, Wai-Keong Mok, Sukin Sim, Leong-Chuan Kwek, Alán Aspuru-Guzik:
Noisy intermediate-scale quantum (NISQ) algorithms. CoRR abs/2101.08448 (2021)
[i4]
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  - journals/corr/abs-2102-01659
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Tobias Haug, Kishor Bharti, M. S. Kim:
Capacity and quantum geometry of parametrized quantum circuits. CoRR abs/2102.01659 (2021)
[i3]
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  - journals/corr/abs-2104-14543
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Tobias Haug, M. S. Kim:
Optimal training of variational quantum algorithms without barren plateaus. CoRR abs/2104.14543 (2021)
[i2]
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  - journals/corr/abs-2106-03891
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Kishor Bharti, Tobias Haug, Vlatko Vedral, Leong-Chuan Kwek:
NISQ Algorithm for Semidefinite Programming. CoRR abs/2106.03891 (2021)
[i1]
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  - journals/corr/abs-2108-01039
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Tobias Haug, Chris N. Self, M. S. Kim:
Large-scale quantum machine learning. CoRR abs/2108.01039 (2021)

2010 – 2019

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2019
[j1]
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Tobias Haug, Sarah Ebling:
Using Open-Source Software for Sign Language Learning and Assessment. Int. J. Emerg. Technol. Learn. 14(19): 188-196 (2019)
2018
[c3]
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Sarah Ebling, Necati Cihan Camgöz, Penny Boyes Braem, Katja Tissi, Sandra Sidler-Miserez, Stephanie Stoll, Simon Hadfield, Tobias Haug, Richard Bowden, Sandrine Tornay, Marzieh Razavi, Mathew Magimai-Doss:
SMILE Swiss German Sign Language Dataset. LREC 2018
2017
[c2]
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  - conf/hci/EblingJWMMBHST17
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Sarah Ebling, Sarah Johnson, Rosalee J. Wolfe, Robyn Moncrief, John McDonald, Souad Baowidan, Tobias Haug, Sandra Sidler-Miserez, Katja Tissi:
Evaluation of Animated Swiss German Sign Language Fingerspelling Sequences and Signs. HCI (8) 2017: 3-13
2014
[c1]
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  - conf/summersim/HaugRB14
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Tobias Haug, Jerzy W. Rozenblit, Klaus Buchenrieder:
Movement analysis in laparoscopic surgery training. SummerSim 2014: 41

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