Jun 2022 - Sep 2022 , Mentor: Sergei V. Gleyzer
A Google Summer of Code project with ML4SCI.
The goal of this study is to show the capabilities of QCNN for classifying the HEP image datasets.
Sep 2022 - Dec 2022 , Mentor: Alberto Maldonado Romo
Part of Qiskit Advocate Mentorship Program.
Designed tensor network quantum circuits and analysed performance using different data encoding schemes.
Feb 2023 - Mar 2023
Part of Xanadu’s QHack Open Hackathon, Winner of Quantum Chemistry and AWS Challenge.
Jan 2023 - Apr 2023
Optimization of metal organic frameworks for carbon capture using quantum computing.
Runner-up. Presented in the Chemical Applications of Quantum Computing at the IEEE QCE 23.
Mar 2023 - Jul 2023 , Mentor: Radoica Draškić
Part of Quantum Open Source Foundation.
Implemented a deterministic measurement-based ITE to find the ground state of a Hamiltonian.
May 2023 - Oct 2023 , Mentor: Sergei V. Gleyzer
A Google Summer of Code project with ML4SCI.
The purpose of this project is to explore the use of QGNNs in High Energy Physics.
Oct 2023 - Present
The Blaise Pascal [Re]generative Quantum Challenge, within the top 20 out of 75 projects.
Sep 2023 - Present
Execute Qiskit programs using Qulacs backend. Now part of the Qiskit’s Ecosystem.
Supported by the Unitary Fund microgrant program.
Published in IEEE International Conference on Quantum Computing and Engineering (QCE), 2023
Recommended citation: 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.
Published in Axioms, 2024
Recommended citation: 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
Published in Axioms, 2024
Recommended citation: 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
Published in Axioms, 2024
Recommended citation: 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
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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