This is the current revision of this page, as edited by Dkcoder(talk | contribs) at 20:36, 12 July 2024(←Created page with '{{User sandbox}} <!-- EDIT BELOW THIS LINE --> '''lambeq''' (stylised ''λambeq'') is an open-source high-level Python library for experimental quantum natural language processing (QNLP), created by Quantinuum. At a high level, the library allows the conversion of any sentence to a quantum circuit, based on a given compositional model and certain parameterisation and choices of ansätze, and facilitates training for both quantum and classical N...'). The present address (URL) is a permanent link to this version.Revision as of 20:36, 12 July 2024 by Dkcoder(talk | contribs)(←Created page with '{{User sandbox}} <!-- EDIT BELOW THIS LINE --> '''lambeq''' (stylised ''λambeq'') is an open-source high-level Python library for experimental quantum natural language processing (QNLP), created by Quantinuum. At a high level, the library allows the conversion of any sentence to a quantum circuit, based on a given compositional model and certain parameterisation and choices of ansätze, and facilitates training for both quantum and classical N...')
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lambeq (stylised λambeq) is an open-source high-level Python library for experimental quantum natural language processing (QNLP), created by Quantinuum. At a high level, the library allows the conversion of any sentence to a quantum circuit, based on a given compositional model and certain parameterisation and choices of ansätze, and facilitates training for both quantum and classical NLP experiments.
