Declan Millar
Research Scientist, Quantum Algorithms at University of Southampton
Chandler's Ford, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolDeclan Millar is a research scientist specializing in quantum algorithms with 10 years of experience applying physics and AI expertise to real-world quantum computing problems. Based at IBM and visiting the University of Southampton, he develops simulation-ready quantum algorithms and implements practical chemistry initial-state methods—contributing MP2 initial point implementations to the well-known Qiskit Nature framework. His background includes a PhD in particle physics and hands-on experimental and software roles at CERN, giving him deep familiarity with scientific code, numerical correctness, and test-driven development. He also contributes to educational materials for the Qiskit Textbook, improving clarity for learners, reflecting a commitment to both cutting-edge research and community-facing documentation.
10 years of coding experience
9 years of employment as a software developer
PhD, Particle Physics, Jointly awarded by QMUL, PhD, Particle Physics, Jointly awarded by QMUL at University of SouthamptonA-Levels, Physics, Mathematics, Chemistry, Biology, A, A, A, A, A-Levels, Physics, Mathematics, Chemistry, Biology, A, A, A, A at Kingdown School Sixth Form
English, Persian
Github Skills (18)
textbook10
gitbook10
python10
quantum-computing10
qiskit10
documentation10
testing9
unit-testing9
numpy9
integration-testing9
test-unit9
unit-test9
test-integration9
refactoring8
autocode8
Programming languages (4)
Github contributions (5)
qiskit-community/qiskit-nature
Apr 2022 - Nov 2022
Qiskit Nature is an open-source, quantum computing, framework for solving quantum mechanical natural science problems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:67 reviews, 7 commits, 7 PRs in 6 months
Contributions summary:Declan's contributions center around the implementation of MP2 initial points within the Qiskit Nature framework. They developed and refactored classes like `MP2InitialPoint` and `HFInitialPoint`, integrating them with the UCC ansatz. Key changes include the computation of MP2 corrections, ensuring alignment with PySCF, and addressing the handling of repeated operators, and they have also fixed unit tests to reflect the updates.
sciencesolvingquantum-computingproblemsmechanical
Qiskit/platypus
Feb 2022 - Aug 2022
Qiskit Textbook (beta)
Role in this project:Technical Writer
Technical WriterContributions:13 commits, 5 PRs, 1 comment in 6 months
Contributions summary:Declan primarily focused on fixing typos and inconsistencies within the Qiskit Textbook documentation. Their contributions involved correcting spelling errors, and grammatical issues across multiple notebooks. These changes improved the clarity and accuracy of the text, contributing to a better learning experience for users of the textbook. The commits show work on the entangled-states, intro and quantum-machine-learning notebooks.
qiskit-textbookquantum-mechanicsquantum-computingtextbookquantum-programming
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