Created: Damir Cavar, 2023-06-12
Last change: Damir Cavar, 2024-09-06
The Quantum NLP Study Group meetings during the Fall 2024 semester are located in Luddy Hall BLIF 0002 every Friday from 4 PM.
The topics to discuss and papers to read for the Fall 2024 meetings:
| Date | Topic |
|---|---|
| 08/16/2024 | Schuld et al. 2014 |
| Zhang et al. 2023 | |
| ---------- | --------- |
| 08/23/2024 | regular meeting |
| ---------- | --------- |
| 08/30/2024 | regular meeting |
| ---------- | --------- |
| 09/20/2024 | IEEE Quantum Week 2024 |
| ---------- | --------- |
| 09/27/2024 | Dominic Widdows on "Advances in Quantum Natural Language Processing, 2022-2024" |
| ---------- | --------- |
| 10/04/2024 | Research meeting, Planning the Conference Quantum AI and NLP 2025 |
| ---------- | --------- |
| 10/11/2024 | Nicholas LaRacuente (IU, Luddy, CS) "Mirages of Complex and Random Quantum States" |
| ---------- | --------- |
| 10/18/2024 | Amr Sabry (IU, Luddy, CS) "Programming, the Quantum Way" |
| ---------- | --------- |
| 10/25/2024 | Work meeting, research and literature discussion. |
| ---------- | --------- |
| ... | Research and Discussion |
| ---------- | --------- |
| 11/08/2024 | Mohsen Heidari Khoozani (IU, Luddy, CS) "Quantum Learning: Foundations and Challenges" |
| ---------- | --------- |
| ... | Research and Discussion |
| ---------- | --------- |
| 12/05/2024 | Alessandro Luongo (Center for Quantum Technologies (CQT), National University of Singapore) "Quantum algorithms for spectral sums" |
| ---------- | --------- |
| 12/06/2024 | Jerome Busemeyer (IU, Psychology, CogSci) "Quantum information processing modeling of human judgmental heuristics" |
| ---------- | --------- |
| 12/13/2024 | Reading, Discussion, Implementation: "Approximate complex amplitude encoding algorithm and its application to data classification problems" |
| ---------- | --------- |
| 12/20/2024 | Reading, Discussion, Implementation: "Towards Compositional Interpretability for XAI" |
| ---------- | --------- |
- Quantum Artificial Intelligence and Natural Language Processing Conference 2025 at Indiana University in August 2025.
- Quantum Artificial Intelligence & Optimization 2025 workshop at the 17th International Conference on Agents and Artificial Intelligence (ICAART).
- We launched the environment for Natural Language Qu Kit (NLQK), a Quantum NLP (QNLP) library - GitHub repo, PyPi project, website
- There was a news article about the Quantum NLP Study Group
- 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.
See also the recent IU News article with some details on that.
- 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
- Quantum Information Science (QIS)
-
Chi Zhang, Akriti Kumari, Damir Cavar (2024) Entangled Meanings: Classification and Ambiguity Resolution in Near–Term QNLP. Paper and Poster presented at the IEEE Quantum Week 2024, Montreal, Canada, September 2024. (paper, poster)
-
Damir Cavar and Chi Zhang (2024) Semantic Similarities using Classical Embeddings in Quantum NLP. Paper and Poster presented at the IEEE Quantum Week 2024, Montreal, Canada, September 2024. (paper, poster)
-
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 were reading are:
- Laakkonen, Konstantinos, and Coecke (2024) Quantum Algorithms for Compositional Text Processing.
- Zhang et al. (2023) Applications of Quantum Embedding in Computer Vision (focus on Quantum Embeddings)
- Schuld et al. (2014) An introduction to quantum machine learning.
- 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.
-
Nielsen, Michael A., and Isaac L. Chuang. Quantum Computation and Quantum Information: 10th Anniversary Edition. Cambridge: Cambridge University Press, 2010.
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Alessandro Luongo (2023) Quantum algorithms for data analysis.
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Bob Coecke and Stefano Gogioso (2023) Quantum in Pictures: A New Way to Understand the Quantum World, Quantinuum.
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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
- Quantum Natural Language Processing (QNLP) 2022, Oxford, UK
- Quantum Natural Language Processing (QNLP) 2023, Gothenburg, Sweden
- Quantum Physics and Logic (QPL) 2022 (proceedings)
- Quantum Physics and Logic (QPL) 2023 (proceedings)
- Quantum Physics and Logic (QPL) 2024
- Center for Quantum Technologies (CQT) - Indiana University, Purdue University, University of Notre Dame
- Centre for Quantum Technologies (CQT)
- DARPA Quantum Benchmarking (QB)
- DARPA Quantum Benchmarking Initiative (QBI)
- Illinois Quantum & Microelectronics Park (IQMP)
- MIT News - Quantum computing
- National Quantum Initiative - The National Quantum Coordination Office (NQCO)
- Quantum Economic Development Consortium (QED-C)
- QSEc - Quantum Science and Engineering Center at IU
- Quantum at Oak Ridge National Laboratory (Quantum@ORNL)
- Quantum Information Science at IU (QIS)
- QuTE - Quantum Technologies for Everyone student club at IUB