Divyanshu Singh is a physics graduate student and quantum computing researcher with six years of research and open-source experience focused on quantum error correction and fault-tolerant implementations for both discrete and continuous-variable systems. He has contributed technical writing and backend fixes to prominent Qiskit repositories — including the widely used Qiskit Textbook and Qiskit Nature — improving tutorials, notebooks, and mathematical clarity for the community. His internships and short-term research roles at IIIT Guwahati and The Institute of Mathematical Sciences demonstrate hands-on experience in quantum algorithms and pulse-level experimentation. Based in Agra, India, he blends rigorous academic training (MSc in Physics) with practical contributions to community-driven quantum software. Notably, his work often targets clarity and reproducibility in educational resources, making advanced concepts more accessible to students and researchers.
6 years of coding experience
Kanha Makhan Public School - India
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at Gautam Buddha University
Certificate of Quantum Excellence Quantum Computing Quantum Machine Learning, Certificate of Quantum Excellence Quantum Computing Quantum Machine Learning at 2021 Qiskit Global Summer School on Quantum Machine Learning
Master's degree Physics, Master's degree Physics at Dayalbagh Educational Institute
[ARCHIVED] A university quantum algorithms/computation course supplement based on Qiskit
Role in this project:
Backend Developer
Contributions:34 reviews, 122 commits, 25 PRs in 11 months
Contributions summary:Divyanshu appears to be correcting and updating links within the Qiskit Textbook repository. The commits involve modifications to the content, specifically within the quantum-phase-estimation.ipynb and vqe-molecules.ipynb files, suggesting involvement in algorithm explanations and descriptions for quantum computing concepts. The user also merged branches which indicate their contributions were integrated into the main branch, showing collaboration or project management. The changes included updating mathematical formulas.
A collection of Jupyter notebooks showing how to use the Qiskit SDK
Role in this project:
Technical Writer
Contributions:6 reviews, 62 commits, 23 PRs in 7 months
Contributions summary:Divyanshu's commits primarily involve modifications to the Jupyter Notebook file "05_getting_started_with_pulse.ipynb." The edits include fixing broken links within the documentation and making corrections. The commits indicate that the user focused on ensuring the quality and accuracy of the documentation.
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