Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quantum Natural Language Processing on Near-Term Quantum Computers   In this work, we describe a full-stack pipeline for natural language
processing on near-term quantum computers, aka QNLP. The language-modelling
framework we employ is that of compositional distributional semantics
(DisCoCat), which extends and complements the compositional structure of
pregroup grammars. Within this model, the grammatical reduction of a sentence
is interpreted as a diagram, encoding a specific interaction of words according
to the grammar. It is this interaction which, together with a specific choice
of word embedding, realises the meaning (or "semantics") of a sentence.
Building on the formal quantum-like nature of such interactions, we present a
method for mapping DisCoCat diagrams to quantum circuits. Our methodology is
compatible both with NISQ devices and with established Quantum Machine Learning
techniques, paving the way to near-term applications of quantum technology to
natural language processing.

16
The categories of this paper are: stat
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
2
The categories of this paper are: math