Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: lambeq: An Efficient High-Level Python Library for Quantum NLP   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 diagrams, tensor networks, and quantum circuits ready to be
used on a quantum computer. lambeq supports syntactic parsing, rewriting and
simplification of string diagrams, ansatz creation and manipulation, as well as
a number of compositional models for preparing quantum-friendly representations
of sentences, employing various degrees of syntax sensitivity. We present the
generic architecture and describe the most important modules in detail,
demonstrating the usage with illustrative examples. Further, we test the
toolkit in practice by using it to perform a number of experiments on simple
NLP tasks, implementing both classical and quantum pipelines.

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The categories of this paper are: hep-ex
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The categories of this paper are: patt-sol
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The categories of this paper are: astro-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: physics
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The categories of this paper are: adap-org
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The categories of this paper are: chao-dyn
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The categories of this paper are: acc-phys
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The categories of this paper are: mtrl-th
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The categories of this paper are: plasm-ph
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The categories of this paper are: econ
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The categories of this paper are: dg-ga
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The categories of this paper are: gr-qc
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-ph