Scholar
Dimitri Kartsaklis
Google Scholar ID: CqrRzvoAAAAJ
Head of Applied Quantum NLP Research, Quantinuum
Citations & Impact
Citations
934
H-index
17
i10-index
22
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- 2025: 'Efficient Generation of Parameterised Quantum Circuits from Large Texts'
- 2023: 'Peptide Binding Classification on Quantum Computers', published in Quantum Machine Intelligence
- 2021: Developed lambeq – an efficient high-level Python library for Quantum NLP
- 2023: 'QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer', published in Journal of Artificial Intelligence Research
- 2021: 'A CCG-Based Version of the DisCoCat Framework', presented at SemSpace 2021
- 2020: 'Conversational Semantic Parsing for Dialog State Tracking', presented at EMNLP 2020
- 2018: 'Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs', presented at EMNLP 2018
- 2015: 'Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning', presented at EMNLP 2015
- 2015: 'Open System Categorical Quantum Semantics in Natural Language Processing', presented at CALCO 2015
Research Experience
- Post-doctoral researcher in compositionality and natural language semantics at University of Oxford
- Post-doctoral researcher in the Theory Group of EECS, Queen Mary University of London
- Post-doctoral researcher in the Department of Theoretical and Applied Linguistics, University of Cambridge
- Member of the Siri natural language modeling team at Apple (Cambridge) for two years
- Currently Head of Applied Quantum NLP Research at Quantinuum
Background
- Computer scientist and computational linguist
- Currently Head of Applied Quantum NLP Research at Quantinuum
- Research focuses on designing and implementing compositional models of natural language for quantum computers
- Former member of the Siri natural language modeling team at Apple in Cambridge
- Previously worked as a software engineer and system analyst
