Created: Damir Cavar, 2023-06-12
Last change: Damir Cavar, 2024-03-18
The Quantum NLP Study Group meetings during the summer of 2024 are located in Luddy Hall BLIF 0002 every Thursday from 5 PM.
Events:
- Quantum Day 2024, April 14th, 2024, 11 AM - 3 PM, Swain West 007
- CQT - Center for Quantum Technologies, NSF Industry/University Cooperative Research Center (IUCRC) Year 2, Phase I, Spring 2024 Industry Advisory Board Meeting, April 3-4, 2024, University of Notre Dame, South Bend, IN
- Introduction
- Most Recent
- Literature
- Tools and Technologies
- Tutorials
- Conferences
- Jobs and Internships
The Quantum NLP project in the NLP Lab is currently a study group focusing on the most recent papers in Quantum NLP. Our goal is to familiarize everybody with the different tools and environments for QNLP and work on interesting questions related to Quantum and language-related computation or cognitive aspects of language processing and quantum models.
The study group meets independently of the NLP Lab weekly meeting at IU-B. If you want to join this meeting, contact Damir Cavar directly.
- QSEc - Quantum Science and Engineering Center
- Center for Quantum Technologies (CQT) - Indiana University, Purdue University, University of Notre Dame
- QuTE - Quantum Technologies for Everyone student club at IUB
- NLP-Lab poster (2024) Quantum Natural Language Processing and Machine Learning. Luddy-Crane Summit on March 29, 2024 at Indiana University Bloomington.
The papers we are reading are:
- Coecke et al. (2010) Mathematical Foundations for a Compositional Distributional Model of Meaning.
- Coecke (2019) The Mathematics of Text Structure.
- Gogioso (2016) A Corpus-based Toy Model for DisCoCat.
- Bradley et al. (2018) Translating and Evolving: Towards a Model of Language Change in DisCoCat.
- Kartasaklis et al. (2021) lambeq: An Efficient High-Level Python Library for Quantum NLP.
- Widdows et al. (2022) Near-Term Advances in Quantum Natural Language Processing.
- Alexander and Widdows (2023) Quantum Text Encoding for Classification Tasks.
- Lorenz et al. (2021) QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer.
- Meichanetzidis et al. (2020) Grammar-aware sentence classification on quantum computers.
- Bob Coecke (2023) Our quest for finding the universality of language
- Widdows, Dominic and Stanley Peters (2003) Word Vectors and Quantum Logic Experiments with negation and disjunction.
- Bob Coecke and Stefano Gogioso (2023) Quantum in Pictures: A New Way to Understand the Quantum World, Quantinuum.
- Bob Coecke and Aleks Kissinger (2017) Picturing Quantum Processes: A First Course in Quantum Theory and Diagrammatic Reasoning, Cambridge University Press.
Relevant literature from Cognitive Science and Psychology, related to language:
- Jerome R. Busemeyer and Peter D. Bruza (2012) Quantum Models of Cognition and Decision. Cambridge University Press. (FYI: the second edition is coming out soon and it has a special chapter on Large Language Models!)
- lambeq, Python library for experimental Quantum Natural Language Processing (QNLP)
- tket, a quantum SDK
- pytket, a quantum computing toolkit and optimizing compiler by Quantinuum
- pytket-extensions, extension modules for pytket
- Qiskit - Open-Source Quantum Development
- From quantum picturalism to quantum NLP and quantum AI with Bob Coecke
- An introduction to Quantum Natural Language Processing, Nov. 2022 by Amin Karamlou, Marcel Pfaffhauser, and James Wootton
- related presentation from the QNLP 2022
- PennyLane a software framework for Q ML - by Xanadu