Mitsui Chemicals announced that it has begun a joint project with blueqat Inc.that combines the advanced technologies of natural language processing and quantum computing to speed up the search for new applications of Mitsui chemicals products.

This project uses a natural language processing model called Simple Contrastive Learning of Sentence Embeddings (SimCSE). SimCSE is a high-performance model that creates vector representations to grasp the meaning of documents and other texts. Capable of calculating high accuracy semantic similarity between different texts, the model is expected to find use in the likes of information retrieval and question-and-answer systems.

For this project, the companies will carry out pre-training for the SimCSE model based on a patent database to vectorize patent data documents, making it possible to then find similar patents with a high level of accuracy. The companies have already succeeded in efficient compression of the SimCSE model’s data by utilizing tensor network technology.

This model is expected to find practical use in the likes of patent searches and the search for new applications of Mitsui chemicals products.