Mr Irtaza Khalid
Teams and roles for Irtaza Khalid
Research Associate
Research student
Publication
2025
- Das, A. et al. 2025. When no paths lead to Rome: Benchmarking systematic neural relational reasoning. Presented at: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS) San Diego, USA 02-07 December 2025.
- Khalid, M. , Nourollah, A. M. and Schockaert, S. 2025. Large language and reasoning models are shallow disjunctive reasoners. Presented at: The 63rd Annual Meeting of the Association for Computational Linguistics Vienna, Austria 27 July - 1 August 2025.
- Khalid, M. and Schockaert, S. 2025. Systematic relational reasoning with epistemic graph neural networks. Presented at: The Thirteenth International Conference on Learning Representation Singapore 24-28 April 2025. The Thirteenth International Conference on Learning Representation.
2024
- Khalid, M. 2024. Machine learning methods for robust quantum optimal control. PhD Thesis , Cardiff University.
2023
- Khalid, I. et al. 2023. Sample-efficient model-based reinforcement learning for quantum control. Physical Review Research 5 (4) 043002. (10.1103/PhysRevResearch.5.043002)
- Khalid, I. et al. 2023. Statistically characterizing robustness and fidelity of quantum controls and quantum control algorithms. Physical Review A 107 032606. (10.1103/PhysRevA.107.032606)
2021
- Khalid, I. et al. 2021. Reinforcement learning vs. gradient-based optimisation for robust energy landscape control of spin-1/2 quantum networks. Presented at: 60th IEEE Conference of Decision and Control (CDC 2021) Austin, TX, USA 13-15 December 2021.
Articles
- Khalid, I. et al. 2023. Sample-efficient model-based reinforcement learning for quantum control. Physical Review Research 5 (4) 043002. (10.1103/PhysRevResearch.5.043002)
- Khalid, I. et al. 2023. Statistically characterizing robustness and fidelity of quantum controls and quantum control algorithms. Physical Review A 107 032606. (10.1103/PhysRevA.107.032606)
Conferences
- Das, A. et al. 2025. When no paths lead to Rome: Benchmarking systematic neural relational reasoning. Presented at: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS) San Diego, USA 02-07 December 2025.
- Khalid, I. et al. 2021. Reinforcement learning vs. gradient-based optimisation for robust energy landscape control of spin-1/2 quantum networks. Presented at: 60th IEEE Conference of Decision and Control (CDC 2021) Austin, TX, USA 13-15 December 2021.
- Khalid, M. , Nourollah, A. M. and Schockaert, S. 2025. Large language and reasoning models are shallow disjunctive reasoners. Presented at: The 63rd Annual Meeting of the Association for Computational Linguistics Vienna, Austria 27 July - 1 August 2025.
- Khalid, M. and Schockaert, S. 2025. Systematic relational reasoning with epistemic graph neural networks. Presented at: The Thirteenth International Conference on Learning Representation Singapore 24-28 April 2025. The Thirteenth International Conference on Learning Representation.
Thesis
- Khalid, M. 2024. Machine learning methods for robust quantum optimal control. PhD Thesis , Cardiff University.