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pro vyhledávání: '"Lorenz, Robin"'
Artificial intelligence (AI) is currently based largely on black-box machine learning models which lack interpretability. The field of eXplainable AI (XAI) strives to address this major concern, being critical in high-stakes areas such as the finance
Externí odkaz:
http://arxiv.org/abs/2406.17583
Autor:
Lorenz, Robin, Tull, Sean
The framework of causal models provides a principled approach to causal reasoning, applied today across many scientific domains. Here we present this framework in the language of string diagrams, interpreted formally using category theory. A class of
Externí odkaz:
http://arxiv.org/abs/2304.07638
Autor:
Kartsaklis, Dimitri, Fan, Ian, Yeung, Richie, Pearson, Anna, Lorenz, Robin, Toumi, Alexis, de Felice, Giovanni, Meichanetzidis, Konstantinos, Clark, Stephen, Coecke, Bob
We present lambeq, the first high-level Python library for Quantum Natural Language Processing (QNLP). The open-source toolkit offers a detailed hierarchy of modules and classes implementing all stages of a pipeline for converting sentences to string
Externí odkaz:
http://arxiv.org/abs/2110.04236
Publikováno v:
Journal of Artificial Intelligence Research Vol. 76 (2023), 1305-1342
Quantum Natural Language Processing (QNLP) deals with the design and implementation of NLP models intended to be run on quantum hardware. In this paper, we present results on the first NLP experiments conducted on Noisy Intermediate-Scale Quantum (NI
Externí odkaz:
http://arxiv.org/abs/2102.12846
Publikováno v:
Nature Communications 12, 885 (2021)
Causal reasoning is essential to science, yet quantum theory challenges it. Quantum correlations violating Bell inequalities defy satisfactory causal explanations within the framework of classical causal models. What is more, a theory encompassing qu
Externí odkaz:
http://arxiv.org/abs/2002.12157
Autor:
Lorenz, Robin, Barrett, Jonathan
Publikováno v:
Quantum 5, 511 (2021)
The causal structure of a unitary transformation is the set of relations of possible influence between any input subsystem and any output subsystem. We study whether such causal structure can be understood in terms of compositional structure of the u
Externí odkaz:
http://arxiv.org/abs/2001.07774
It is known that the classical framework of causal models is not general enough to allow for causal reasoning about quantum systems. While the framework has been generalized in a variety of different ways to the quantum case, much of this work leaves
Externí odkaz:
http://arxiv.org/abs/1906.10726
The 2-Higgs-Doublet Model (2HDM) belongs to the simplest extensions of the Standard Model (SM) Higgs sector that are in accordance with theoretical and experimental constraints. In order to be able to properly investigate the experimental Higgs data
Externí odkaz:
http://arxiv.org/abs/1605.04853
Akademický článek
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Autor:
Tanner, Scott M.1,2 (AUTHOR) st29@uscupstate.edu, Lorenz, Robin G.1,3 (AUTHOR)
Publikováno v:
FASEB Bioadvances. Oct2022, Vol. 4 Issue 10, p648-661. 14p.
