Quantum Application R&D · Scientific Computing · Benchmark Engineering

I'm a physics-trained independent research practitioner with a Master's degree in Space Physics from the University of Science and Technology of China (USTC). My work focuses on translating scientific and application-oriented problems into computational experiments, testable research software, and evidence-based evaluations.

I work primarily with Python, applying quantum and classical methods as appropriate. My interests include quantum circuit algorithms and compilation, numerical simulation, probabilistic methods, reproducible experiments, and transparent benchmark comparisons.

An independent study of quantum circuit placement and routing heuristics, developed from my participation in the Q-SITE 2026 Open Computing track and subsequent comparative research.

• Explores placement, routing, and search mechanisms under the objective SWAP count + 0.5 × circuit depth.
• Documents a deterministic routing implementation, external solver result reproduction, and controlled follow-up experiments.
• Distinguishes recorded historical results, locally reproduced third-party results, and new local experiments.
• Provides source code, tests, research notes, provenance records, and limitations, including negative findings.

Research evidence: Research report · Evidence index · Limitations

The study does not claim quantum advantage, global optimality, or general superiority across different search budgets.

I contribute problem diagnosis, correctness-focused fixes, and regression testing to quantum software projects. Selected pull requests:

These links document proposed contributions; they do not imply that the pull requests have been accepted or that I authored the full upstream projects.

• Qiskit Quantum Workflow Starter — local circuit simulation with Qiskit Aer, reproducible configurations, validation, pytest tests, and report generation; an educational, non-production workflow.
• Data Quality ETL Starter — Python data-quality workflows with validation, transformation, export, testing, and technical reporting.
• FastAPI CSV Quality API — a small API example demonstrating structured data checks, automated tests, and Docker packaging.

Yong-Jian Jin, Hui-Nan Zheng, and Zhen-Peng Su (2018). “Propagation and Damping of Two-Fluid Magnetohydrodynamic Waves in Stratified Solar Atmosphere.” Chinese Physics Letters, 35(7), 075201. DOI: 10.1088/0256-307X/35/7/075201.

This peer-reviewed publication represents my foundation in theoretical and numerical plasma/space-physics research; it is not a quantum-computing publication.

My work typically includes research framing, experimental design, method and benchmark selection, planning, result interpretation, iterative decisions, verification, and technical reporting.

I use AI-assisted programming and technical discussion extensively during implementation and iteration. I assess results using tests, classical references where applicable, reproducibility checks, critical review, and explicit limitations. My emphasis is on sound experimental decisions and traceable evidence rather than unsupported performance claims.

I hold five publicly verifiable IBM-issued digital badges, documenting completion of the corresponding learning and assessment requirements:

1. General Formulation of Quantum Information — issued 17 August 2026.
2. Variational Algorithm Design — issued 3 August 2026.
3. Quantum Business Foundations — issued 20 July 2026.
4. Fundamentals of Quantum Algorithms — issued 13 July 2026.
5. Basics of Quantum Information — issued 30 June 2026.

Credential verification: IBM badges on Credly — Bob Oner

These are learning credentials, distinct from research publications, competitive awards, or professional licensure.

• PennyLane profile — OnerGit

I also participate in quantum programming challenges. My public portfolio focuses on research methods, reproducibility, and engineering evidence rather than publishing challenge solutions by default.