Liberal Arts and Sciences
Pan Group
Led by Haining Pan · Physics
What we study
The Pan Group studies quantum computing, materials, and AI. They use quantum circuits, machine learning, and experiments to explore how physics and AI can work together.
What working here is like
- Computational
- Coding required
- Papers
- 5
Recent papers, explained
- Majorana zero modes in semiconductor-superconductor hybrid structures: Defining topology in short and disordered nanowires through Majorana splitting
2026 · Physical review. B./Physical review. B
Shows how Majorana zero modes in nanowires can be protected from disorder for quantum computing.
- Rashba spin-orbit coupling and artificially engineered topological superconductors
2026 · Physical review. B./Physical review. B
Explains how Rashba spin-orbit coupling helps create topological superconductors for quantum computing.
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- Free-fermion dynamics with measurements: Topological classification and adaptive preparation of topological states
2026 · Physical Review Research
Develops a framework to classify fermionic dynamics with measurements.
- Machine learning Majorana topology using unsupervised and supervised learning
2026 · Physical review. B./Physical review. B
Uses machine learning to identify Majorana topology in unlabeled data.
- Avoiding dilution: Using diffusion and vision transformers to resolve Majorana features in nanowires at high temperature
2026 · Physical review. B./Physical review. B
Tests if high-temperature data can predict low-temperature Majorana nanowire properties.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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