106 citations · 318 across the 11 of their papers we have counts for
11 papers
Towards unsupervised representation learning for quantum data: quantum models with inference and generation
Robin Lorenz, Eric Brunner, Marcello Benedetti
With quantum sensors, simulators and networks emerging, a future of quantum technology may produce quantum states as data---that is, coherently rather than as classical measurement…
Causal and Compositional Abstraction
Robin Lorenz, Sean Tull
Abstracting from a low level to a more explanatory high level of description, and ideally while preserving causal structure, is fundamental to scientific practice, to causal infere…
Unitary causal decompositions: a characterisation via lattice theory
Tein van der Lugt, Robin Lorenz
If a unitary transformation has a circuit representation with no directed path from input to output , then does not influence through the overall unitary. Conversely…
Towards Compositional Interpretability for XAI
Sean Tull, Robin Lorenz, Stephen Clark +2
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…
Causal models in string diagrams
Robin Lorenz, Sean Tull
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 s…
lambeq: An Efficient High-Level Python Library for Quantum NLP
Dimitri Kartsaklis, Ian Fan, Richie Yeung +7
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 im…
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
Robin Lorenz, Anna Pearson, Konstantinos Meichanetzidis +2
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 f…
Cyclic Quantum Causal Models
Jonathan Barrett, Robin Lorenz, Ognyan Oreshkov
Causal reasoning is essential to science, yet quantum theory challenges it. Quantum correlations violating Bell inequalities defy satisfactory causal explanations within the framew…
Causal and compositional structure of unitary transformations
Robin Lorenz, Jonathan Barrett
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 st…
Quantum Causal Models
Jonathan Barrett, Robin Lorenz, Ognyan Oreshkov
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 v…
Gauge-independent Renormalization of the 2-Higgs-Doublet Model
Marcel Krause, Robin Lorenz, Margarete Muhlleitner +2
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…