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Cambridge Quantum releases quantum natural language processing toolkit

Cambridge Quantum has released what it calls the world’s first toolkit and library for Quantum Natural Language Processing (QNLP). The toolkit is called lambeq, and named after the late mathematician and linguist Joachim Lambek, the company said in a statement.

Lambeq is the world’s first software toolkit for QNLP capable of converting sentences into a quantum circuit, according to Cambridge Quantum. It can be used to accelerate the development of practical, real-world QNLP applications, such as automated dialogue, text mining, language translation, text-to-speech, language generation and bioinformatics, says the company.

Lambeq is open-sourced, and works seamlessly with CQ’s TKET, a quantum software development platform that is also fully open-sourced.

Lambeq was conceived, designed and engineered by CQ’s Oxford-based quantum computing research team led by Chief Scientist Bob Coecke, with senior scientist Dimitrios Kartsaklis, Ph.D., as chief architect of the platform.

Lambeq has been released as a conventional Python repository on GitHub and is available here: https://github.com/CQCL/lambeq. The quantum circuits generated by lambeq have thus far been executed and implemented on IBM quantum computers and Honeywell Quantum Solutions’ H series devices, according to Cambridge Quantum.

 

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