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Hello there, I'm Gopal 👋
I’m Gopal Dahale, Researcher and Software Engineer specializing in quantum computing and its applications. With a strong foundation from the Indian Institute of Technology, Bhilai, I’ve contributed to quantum open-source projects and won hackathons, showcasing expertise in quantum computing concepts and frameworks. Passionate about pushing technology boundaries, I’m dedicated to advancing quantum computing and mentoring future talents in the field.
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Posts
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Blog Post number 1
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portfolio
projects
Quantum Convolutional Neural Networks for High-Energy Physics Analysis at the LHC
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.
Tensor networks for QML
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.
Molecular Energy Landscapes of HEA in Quantum Computing for Carbon Capture
Feb 2023 - Mar 2023
Part of Xanadu’s QHack Open Hackathon, Winner of Quantum Chemistry and AWS Challenge.
Qlimate: Deloitte’s Quantum Climate Challenge 2023
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.
Deterministic Measurement-based imaginary time evolution
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.
Quantum Graph Neural Networks for High Energy Physics Analysis at the LHC
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.
Wind farm layout optimization using neutral atoms
Oct 2023 - Present
The Blaise Pascal [Re]generative Quantum Challenge, within the top 20 out of 75 projects.
Qiskit-Qulacs
Sep 2023 - Present
Execute Qiskit programs using Qulacs backend. Now part of the Qiskit’s Ecosystem.
Supported by the Unitary Fund microgrant program.
publications
Quantum Simulations for Carbon Capture on Metal-Organic Frameworks
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.
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks
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
Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks
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
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics
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
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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