lambeq

Open bounties:

• $250 | UnitaryHACK: Serialise ansatz and include in model
• $150 | UnitaryHACK: Implement and test gradient free optimizer for circuit models
• $100 | UnitaryHACK: Replace unknown words in diagrams with `UNK` token

lambeq is an open-source, modular, extensible high-level Python library for experimental Quantum Natural Language Processing (QNLP), created by Quantinuum’s QNLP team. 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.