human
Summarize the following text:
In 2020 an Oxford-based Quantinuum team performed Quantum Natural Language Processing (QNLP) on IBM quantum hardware. Key to having been able to achieve what is conceived as a heavily data-driven task, is the observation that quantum theory and natural language are governed by much of the same compositional structure  – a.k.a. tensor structure. Hence our language model is in a sense quantum-native, and we provide an analogy with simulation of quantum systems in terms of algorithmic speed-up. We will also introduce the notion of compositional intelligence, exploiting the fact that the compositional match between natural language and quantum extends to other domains as well, such as patio-temporal perception, we will argue that a new generation of AI can emerge when fully pushing this analogy.
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
No
2. Is it implied multiple-choice question?
No
3. If two experts were independently asked the question, will the final answer be exactly the same?
No

--- Answer ---
open