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Robin Lorenz
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QNLP in practice: Running compositional models of meaning on a quantum computer
R Lorenz, A Pearson, K Meichanetzidis, D Kartsaklis, B Coecke
Journal of Artificial Intelligence Research 76, 1305-1342, 2023
1272023
Gauge-independent renormalization of the 2-Higgs-doublet model
M Krause, R Lorenz, M Mühlleitner, R Santos, H Ziesche
Journal of High Energy Physics 2016 (9), 1-61, 2016
1252016
Cyclic quantum causal models
J Barrett, R Lorenz, O Oreshkov
Nature communications 12 (1), 885, 2021
972021
Quantum causal models
J Barrett, R Lorenz, O Oreshkov
arXiv preprint arXiv:1906.10726, 2019
902019
lambeq: An efficient high-level python library for quantum NLP
D Kartsaklis, I Fan, R Yeung, A Pearson, R Lorenz, A Toumi, G de Felice, ...
arXiv preprint arXiv:2110.04236, 2021
872021
Causal and compositional structure of unitary transformations
R Lorenz, J Barrett
Quantum 5, 511, 2021
312021
Causal models in string diagrams
R Lorenz, S Tull
arXiv preprint arXiv:2304.07638, 2023
82023
Full one-loop electroweak corrections to the decays H+→ W+ h/H in the two-Higgs-doublet model
R Lorenz
Master Thesis, Karlsruhe Institute of Technology, Germany, 2015
82015
Quantum causal models (2020)
J Barrett, R Lorenz, O Oreshkov
arXiv preprint arXiv:1906.10726, 1906
81906
Quantum causal models: the merits of the spirit of Reichenbach’s principle for understanding quantum causal structure
R Lorenz
Synthese 200 (5), 424, 2022
62022
Towards compositional interpretability for xai
S Tull, R Lorenz, S Clark, I Khan, B Coecke
arXiv preprint arXiv:2406.17583, 2024
42024
Quantum causal structure
R Lorenz
University of Oxford, 2020
12020
Quantum causal loops
R Lorenz, J Barrett, O Oreshkov
AAAS publication, 2021
2021
Towards Compositional Interpretability
S Tull, R Lorenz, S Clark
Quantum NLP with lambeq
D Kartsaklis, I Fan, R Yeung, T Hoffmann, V Kocijan, C London, ...
QNLP: Compositional Models of Meaning on a Quantum Computer
K Meichanetzidis, R Lorenz, A Pearson, A Toumi, G de Felice, ...
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