News Analysis: Cambridge Quantum Brings On Quantum NLP To Life
CQ Is First To NLP On Quantum Via The lambeq Toolkit
On October 13th, Cambridge Quantum released lambeq, an open-source toolkit and library for Natural Language Processing on Quantum (QNLP), named after Joachim Lambek, the late pioneering McGill University professor in mathematics and theoretical computer science. This breakthrough achievement is a quantum computing first. lambeq allows the creation of language translation, language creation, text mining, text to speech, automated dialogs and more. Sentences are converted to quantum circuits using QNLP on quantum hardware.
Anyone with an interest in NLP, and all users of the open source TKET, CQ's quantum software development platform. as well as any other quantum computing platforms such as qiskit can easily use lambeq on hardware such as Honyewell Quantum Solutions' trapped-ion H series or IBM superconducting quantum computers. The open source nature of lambeq enables Anyone can access the Python repository of lambeq in Github
The Bottom Line: Cambridge Quantum's QNLP Makes NLP On Quantum Accessible
While the current offering is still in beta, the availability of QNLP provides early adopters with access to apply advanced QNLP techniques in large production environments. Expect researchers to gain the expertise to move from theory to practical real-world NLP applications in years instead of decades. This quantum first development is a significant milestone in this early history of quantum computing.
Are you exploring Quantum Computing? Do you see the use cases for QNLP?
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