QNLP and quantum-nlp

These are ecosystem siblings where ICHEC/QNLP provides a general-purpose quantum NLP framework based on lambeq (a compositional semantics library), while mullzhang/quantum-nlp is a specialized implementation focusing specifically on quantum annealing as the backend solver for NLP tasks.

QNLP
41
Emerging
quantum-nlp
36
Emerging
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 16/25
Stars: 41
Forks: 14
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 7
Forks: 6
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About QNLP

ICHEC/QNLP

ICHEC Quantum natural language processing (QNLP) toolkit

This toolkit helps researchers explore and implement a new way to understand language using both classical and quantum computing. It takes written sentences as input and outputs their meanings represented as quantum states, which can then be processed on quantum simulators. It is designed for quantum researchers and computational linguists interested in the cutting edge of Natural Language Processing.

quantum-computing natural-language-processing computational-linguistics quantum-machine-learning

About quantum-nlp

mullzhang/quantum-nlp

NLP (Natural Language Processing) using quantum annealer

Related comparisons

QNLP and quantumNLP_jp

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