G. R. Dahale, "Quantum Simulations for Carbon Capture on Metal-Organic Frameworks," 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 89-93, doi: 10.1109/QCE57702.2023.10189.
Forestano RT, Comajoan Cara M, Dahale GR, Dong Z, Gleyzer S, Justice D, Kong K, Magorsch T, Matchev KT, Matcheva K, et al. A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks. Axioms. 2024; 13(3):160. https://doi.org/10.3390/axioms13030160
Dong Z, Comajoan Cara M, Dahale GR, Forestano RT, Gleyzer S, Justice D, Kong K, Magorsch T, Matchev KT, Matcheva K, et al. ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. Axioms. 2024; 13(3):188. https://doi.org/10.3390/axioms13030188
Unlu EB, Comajoan Cara M, Dahale GR, Dong Z, Forestano RT, Gleyzer S, Justice D, Kong K, Magorsch T, Matchev KT, et al. Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics. Axioms. 2024; 13(3):187. https://doi.org/10.3390/axioms13030187
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA