- Lambeq update introduces many new important features to provide 
researchers and developers with more options and flexibility in turning 
sentences into quantum circuits

    The quantum natural language processing team at Quantinuum, the world's 
leading integrated quantum computing company, has released a major update to 
its open-source Python library and toolkit, Lambeq (pronounced "Lambek").

   Lambeq converts any natural language sentence into a quantum circuit, ready 
to be realised on a quantum computer. The new release has been designed for a 
growing community of researchers, developers and users versed in quantum 
natural language processing (QNLP) and natural language processing (NLP). 
Natural language processing markets are projected to grow 27% annually over the 
next five years.[1]

   The update will support the growth of QNLP and potential future applications 
such as automated dialogue, text mining, language translation, text-to-speech, 
language generation and bioinformatics.

   Quantinuum's Head of Applied Quantum NLP Research, Dr. Dimitrios Kartsaklis, 
said: "Since we launched Lambeq, we have received valuable feedback from a 
rapidly growing community of users, and many of the new features available 
today reflect this. The new version of Lambeq now comes, for example, with a 
native state-of-the-art parser that has been fully integrated with the toolkit. 
Additionally, the toolkit is now equipped with a training package that supports 
popular supervised learning libraries, such as PyTorch, to help users 
efficiently train NLP tasks using the quantum circuits and tensor networks that 
Lambeq generates. This update is all about accessibility – and crucially, 
reducing the time it takes to achieve results."

   Additionally, and importantly, Lambeq's new neural-based CCG parser, Bobcat, 
is trained on a large human-annotated corpus of syntactic derivations. It is 
fully integrated with the toolkit, simplifying the installation process, and 
presents improved state-of-the-art parsing performance. The previous parser 
remains part of the toolkit, and for the benefit of the community, Bobcat will 
also be released as a separate stand-alone open-source tool in due course.

   The new update is equipped with a command-line interface, making most of the 
toolkit's functionality available to users with no programming knowledge. It 
also contains a new supervised training module designed to simplify the process 
of training parameterised quantum circuits and tensor networks in a machine 
learning setup.

   Lambeq is the first quantum NLP and computational linguistics toolkit. It 
can convert a sentence into a quantum circuit that inherits its entanglement 
structure from the sentence's syntactic structure. This construction is 
motivated by formal mathematical correspondences between mathematical models of 
grammar and quantum protocols, as established by senior researchers at 
Quantinuum, Chief Scientist Prof. Bob Coecke and Head of AI Prof. Stephen Clark.

   With this update, Lambeq becomes more flexible in providing users with more 
options on the quantum circuits it can generate. It allows manipulation of 
syntax diagrams and makes it simpler to define the quantum circuits from the 
syntactic structure.

   The visualisation of Lambeq's output has also been improved, and 
documentation has been expanded with numerous examples to remove the barrier to 
entry for general users.

   Where to find Lambeq

   - Lambeq has been released as a conventional Python repository on GitHub and 
is available here https://github.com/CQCL/lambeq
   - More details about the new release can be found here 
https://cqcl.github.io/lambeq/release_notes.html
   - The documentation and tutorials can be found here: 
https://cqcl.github.io/lambeq/index.html

   [1] Mordor Intelligence, 2021: 
https://www.mordorintelligence.com/industry-reports/natural-language-processing-market


   About Quantinuum

   Quantinuum is the world's largest integrated quantum computing company, 
formed by the combination of Honeywell Quantum Solutions' world leading 
hardware and Cambridge Quantum's class leading middleware and applications.

   Quantinuum employs over 400 people including 300 scientists, at eight sites 
in the US, Europe, and Japan.

   Science led and enterprise driven, Quantinuum accelerates quantum computing 
and the development of applications across chemistry, cybersecurity, finance, 
and optimization. Quantinuum's focus is to create scalable and commercial 
quantum solutions to solve the world's most pressing problems, in fields such 
as energy, logistics, climate change, and health.

   Quantinuum's open-source developer toolkit TKET provides platform-inclusive 
access to the world's leading quantum hardware and simulators and enhances the 
performance of every Quantinuum product, including cybersecurity key-generation 
platform Quantum Origin, quantum computational chemistry and materials science 
package EUMEN, and Lambeq, Quantinuum's quantum natural language processing and 
computational linguistics toolkit.

   Quantinuum's H1 generation quantum computer, Powered by Honeywell, is one of 
the most advanced in the world and was the first to pass the industry standard 
quantum volume 2048 benchmark. Quantinuum is committed to increasing the 
quantum volume of its commercial quantum computers by orders of magnitude each 
year for the next five years.

   Source: Quantinuum