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Short biography

I am a computer scientist and computational linguist, currently having the role of the Head of Applied Quantum NLP Research at Quantinuum. Our research is focused on the design and implementation of compositional models of natural language intended to run on quantum computers. I hold a Ph.D. in Computer Science from the University of Oxford, and an MSc in Artificial Intelligence from the University of Edinburgh. After my Ph.D. I continued my research on compositionality and natural language semantics as a post-doctoral researcher in the Theory Group of EECS, Queen Mary University of London, and the Department of Theoretical and Applied Linguistics of the University of Cambridge. For two years I was a member of the Siri natural language modelling team at Apple in Cambridge. Before being engaged in scientific research, I was a software engineer and system analyst.

Scientific interests

Natural language semantics • Compositionality • Distributional models of meaning • Lexical ambiguity • Dialogue systems • Mathematics of language • Machine learning/Deep learning for NLP • Knowledge base representation • Category theory • Pregroup and categorial grammars • Diagrammatic reasoning • Quantum computing

Contact

You can reach me by sending a message to: dimkart at gmail dot com.

Selected publications

For a full list please see the Publications page.

• C. Krawchuk, N. Khatri, N. J. Ortega, D. Kartsaklis (2025). Efficient Generation of Parameterised Quantum Circuits from Large Texts [arXiv]

• C. London, D. Brown, W. Xu, S. Vatansever, C. J. Langmead, D. Kartsaklis, S. Clark, K. Meichanetzidis (2023). Peptide Binding Classification on Quantum Computers, Quantum Machine Intelligence, Vol. 6 [article] [arXiv] [code]

• D. Kartsaklis, I. Fan, R. Yeung, A. Pearson, R. Lorenz, A. Toumi, G. de Felice, K. Meichanetzidis, S. Clark, B. Coecke (2021). lambeq: An Efficient High-Level Python Library for Quantum NLP, [arXiv:2110.04236] [cs.CL] [pdf] [toolkit]

• R. Lorenz, A. Pearson, K. Meichanetzidis, D. Kartsaklis, B. Coecke (2023). QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer, Journal of Artificial Intelligence Research, Vol. 76 [pdf] [code]

• R. Yeung, D. Kartsaklis (2021). A CCG-Based Version of the DisCoCat Framework, Proceedings of SemSpace 2021 [pdf] [bibtex] [tool] [corpus]

• J. Cheng, D. Agrawal, H.M. Alonso, S. Bhargava, J. Driesen, F. Flego, D. Kaplan, D. Kartsaklis, L. Li, D. Piraviperumal, J.D. Williams, H. Yu, D. Ó Séaghdha, A. Johannsen (2020). Conversational Semantic Parsing for Dialog State Tracking, Proceedings of EMNLP 2020 [pdf] [bibtex] [dataset]

• D. Kartsaklis, M.T. Pilehvar, N. Collier (2018). Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs, in Proceedings of EMNLP 2018, Brussels, Belgium [pdf] [bibtex] [code] [slides] [poster]

• J. Cheng, D. Kartsaklis (2015). Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning, in Proceedings of EMNLP 2015, Lisbon, Portugal [pdf] [bibtex]

• R. Piedeleu, D. Kartsaklis, B. Coecke, M. Sadrzadeh (2015). Open System Categorical Quantum Semantics in Natural Language Processing, in Proceedings of 6th Conference of Algebra and Coalgebra (CALCO 2015), Nijmegen, The Netherlands [paper]