Relevant publications

1.  Exponential qubit reduction in optimization for financial transaction settlement, by Elias X. Huber, Benjamin Y. L. Tan, Paul R. Griffin & Dimitris G. Angelakis https://rdcu.be/dQ0we  

2. VIOLET: Visual Analytics for Explainable Quantum Neural Networks, by Shaolun Ruan, Zhiding Liang, Qiang Guan, Paul Griffin, Xiaolin Wen, Yanna Lin, Yong Wang. https://arxiv.org/abs/2312.15276 

3. A quantum photonic chip for binary classification, by Lin, H. X.; Zhang, H.; Cai, H.; Griffin Paul; Liu, A. Q.(2023.0). CLEO: Conference on Lasers and Electro-Optics: Applications and Technology 2023: San Jose, CA,7-12 May: Proceedings, Washington, DC: Optica. https://opg.optica.org/abstract.cfm?uri=cleo_at-2023-JW2A.64 (Published)

4. QuantumEyes: Towards better interpretability of quantum circuits, by RUAN, Shaolun; GUAN, Qiang; GRIFFIN, Paul; MAO, Ying; WANG, Yong. (2023). IEEE Transactions on Visualization and Computer Graphics, 1-13. https://doi.org/10.1109/TVCG.2023.3332999 (Advance Online)

5. "Exponential Qubit Reduction in Optimization for Financial Transaction Settlement", Elias X. Huber, Benjamin Y. L. Tan, Paul R. Griffin, Dimitris G. Angelakis, https://arxiv.org/abs/2307.07193 

6. "Review of some existing QML frameworks and novel hybrid classical–quantum neural networks realising binary classification for the noisy datasets", N. Schetakis, D. Aghamalyan, P. Griffin & M. Boguslavsky, https://www.nature.com/articles/s41598-022-14876-6

7. "Quantum machine learning for credit scoring" by N. SCHETAKIS, D. AGHAMALYAN et al. (smu.edu.sg) 

8. “An application framework for implementing quantum computing”, by Griffin, Paul R.; Boguslavsky, Michael; Huang, Junye; Kauffman, Robert; Tan, Brian R.. (2021). In Taneja, Kavita; Kumar, Kuldeep; Ouh, Eng Lieh; Taneja, Harunish; Selwal, Arvind; Bhatnagar, Vishal; Bali, Vikram. (Ed.), Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 (pp. 1-23) Taylor and Francis. An application framework for implementing quantum computing (smu.edu.sg) 

9. "A Practical Comparison of Quantum and Classical Leaderless Consensus", Paul Robert Griffin, Dimple Mevada, to be published,  https://ink.library.smu.edu.sg/sis_research/7175/  

10. P. Griffin and R. Sampat, "Quantum Computing for Supply Chain Finance," 2021 IEEE International Conference on Services Computing (SCC), 2021, pp. 456-459, doi: 10.1109/SCC53864.2021.00066. (Download at https://ink.library.smu.edu.sg/sis_research/6923/)

11. Quantum blockchain, Paul Griffin, Jordan Seet,  first article - https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7019&context=sis_research

12. Quantum computing: Computational excellence for Society 5.0, by GRIFFIN, Paul R.; BOGUSLAVSKY, Michael; HUANG, Junye; KAUFFMAN, Robert J.; TAN, Brian R.. (2021). In K. Taneja, H.Taneja, K. Kumar, A. Selwal, & E. L.Ouh (Ed.), Data science and innovations for intelligent systems: Computational excellence and Society 5.0 (pp. 1-32) Boca Raton: CRC Press. https://doi.org/10.1201/9781003132080-1 (Published)

13. Techinnovation 2021 - Quantum Machine Learning Binary Classifiers - https://www.ipi-singapore.org/tech-offers/174169/quantum-consensus.html