// JEONGBIN
Selected Work

Curated projects, not just repository cards.

The goal here is to show what each project was actually trying to prove, build, or communicate. GitHub is still available, but the story comes first.

Browse GitHub
Ecosystem Platform2026Live community contribution

Sui Dev Korea Community Hub

Contributed to the public-facing Sui Dev Korea hub, helping shape a Korean entry point for ecosystem updates, builder onboarding, and community discovery.

This work matters because it supports real ecosystem participation: not just a one-off demo, but a live community surface that people can keep using as they learn and build on Sui.

Sui EcosystemCommunity UXGitHub PagesFrontend Contribution
Live Site
Why this project matters
  • Helped improve a live community-facing site instead of only shipping an isolated portfolio demo.
  • Focused on making Sui-related information easier to approach for Korean builders and newcomers.
  • Framed the contribution as ecosystem infrastructure with ongoing public visibility.
Presentation principle

Each project card now foregrounds intent, technical choices, and outcome. GitHub stays as a verification path, not the whole presentation layer.

Research Software2025 - 2026

Hybrid Quantum Diffusion Models

Built a hybrid quantum-classical U-Net for diffusion-based image generation, combining a 4-qubit bottleneck with adaptive non-local observables to make quantum feature extraction more expressive.

Positioned the project as a research artifact rather than a notebook dump, with a paper, reproducible implementation, and a clearer narrative around why the quantum layer matters.

PennyLanePyTorchDiffusion ModelsQuantum ML
  • Designed a quantum bottleneck inside a classical U-Net rather than replacing the full model.
  • Focused on multi-class generation and reducing mode collapse across ten digit classes.
PaperGitHub
Research ReviewJan 2026

Logical Quantum Processor Review

Prepared a paper review and poster on logical quantum processors built from reconfigurable neutral-atom arrays during the 2026 KAIST-MIT Quantum Winter Camp.

Turned a dense Nature paper into a concise technical presentation focused on fault tolerance, atom-array architecture, and the practical implications of logical qubit control.

Quantum Error CorrectionNeutral AtomsTechnical Writing
  • Summarized surface-code and transversal-gate ideas for a mixed research audience.
  • Produced final review notes and a presentation poster as shareable outputs.
GitHubNature Paper
Blockchain Product2025

Sui Crowdfunding DApp

Designed a decentralized crowdfunding flow on Sui where campaigns, funding, and supporter rewards are handled through Move contracts and a React-based front end.

Framed the chain not just as storage or settlement, but as part of the product logic by combining funding flows with NFT-based participation receipts.

SuiMoveReact@mysten/dapp-kit
  • Implemented campaign creation, funding, and withdrawal logic in Sui Move.
  • Connected wallet interactions to a simpler front-end flow for demo use.
GitHub
Quantum Algorithms2025

Instant Insanity Quantum Solver

Formulated the classic Instant Insanity puzzle as a QUBO problem and solved it with a Subspace Krylov Quantum Dynamics pipeline on IBM Quantum hardware.

The interesting part was not only the quantum formulation, but the recovery pipeline that made noisy hardware results interpretable enough to reconstruct valid puzzle states.

QiskitIBM QuantumQUBOPython
  • Mapped a combinatorial puzzle into a quantum-friendly optimization problem.
  • Ran the workflow against IBM hardware instead of stopping at simulation.
GitHub
Competition Study2025

Quantum Challenge Working Notes

Collected working notes and experimental notebooks for the 2025 Quantum Challenge, keeping the process public even where the final official answers lived elsewhere.

Useful as a study artifact because it shows the exploration path, not just the polished answer sheet.

JupyterProblem SolvingQuantum Computing
  • Organized competition experiments into a shareable repository.
  • Documented assumptions and partial solutions instead of hiding dead ends.
GitHubChallenge