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Quantum Natural Language Processing on Near-Term Quantum Computers | | Konstantinos Meichanetzidis
; Stefano Gogioso
; Giovanni De Felice
; Nicolò Chiappori
; Alexis Toumi
; Bob Coecke
; | | Date: |
8 May 2020 | | Abstract: | 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. | | Source: | arXiv, 2005.4147 | | Services: | Forum | Review | PDF | Favorites | |
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