- Supplementary Content
- 10.5281/zenodo.6511191
D6.7 QNLP Alpha prototype
- Apr 29, 2022
- Zenodo (CERN European Organization for Nuclear Research)
- Antonio Villalpando + 4 more +4
The NEASQC project aims at demonstrating and advancing the capabilities of NISQ-era devices through the development of practically-relevant use-cases. Under the category of Symbolic AI and Graph Algorith-mic algorithms, one of the use-cases that is being developed is for Quantum-enabled Natural Language Processing (QNLP). The objective of the QNLP use-case in NEASQC is to investigate, develop and com-pare existing methods in classical NLP with a QNLP approach to encode and process sentences in a hybrid classical-quantum workflow. This software deliverable D6.7 titled “QNLP alpha prototype” is an incremental update to the pre-alpha prototype delivered through D6.3 (Villalpando et al., 2021a, 2021b). The alpha prototype goes beyond the DisCoCat method (Coecke et al., 2010) used in the pre-alpha prototype to explore and implement an alternate method based on Dressed Quantum Circuits.
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