Independent research lab led by HKUST MPhil Inho Choi, aligning tensor networks, Hamiltonian estimation, and systems engineering into credible research products.
HKUST MPhil researcher linking quantum information theory and tensor-network software
I'm pursuing an MPhil in Physics at HKUST (Adrian Po group), focused on quantum information theory, tensor-network modeling, and Hamiltonian estimation workflows that tie theory to controllable devices.
The path started in HKUST's BSc research track with the Entrance Scholarship, building simulators for NV centers, Rydberg platforms, and IBM Quantum challenges while mentoring as a Qiskit Advocate.
Across projects I push for research clarity and product polish—reproducible simulations, interactive visualizations, and instrumentation that let collaborators validate ideas quickly.
Quantum information & computation, quantum matter, control, and simulation, and science-for-AI evaluations—built with production-ready, hardware-aware software.
Hong Kong & Seoul · collaborating globally
Open to quantum research collaborations and technical advising
Global Industry Challenge winner
JPMorgan Chase track · Quantum World Congress 2025
IBM Quantum collaborator
Fall Challenge author; former IBM Quantum software developer
iQuHack (IonQ) 3rd · QCHack 2nd
MIT, Yale, and Stanford-led hardware challenge podiums
Guiding line
“Think as a physicist, and work as an engineer.”
A reminder to keep pairing theoretical clarity with build-quality systems and interactive artifacts.
Inho Choi
Career timeline
Academic and research journey
Academic progression through HKUST BSc → MPhil plus research assistantships across IBM Quantum, NV centers, and Rydberg simulators. Use the contact form or email to request the full CV; /cv.pdf is the canonical snapshot.
Quantum information, quantum matter, and science for AI
Research stack: quantum information & computation (tensorized algorithms and simulators), quantum matter, control, and simulation, and science-for-AI evaluations.
Algorithms and tooling for quantum information processing, from tensor-network search methods to photonic/fermionic simulators and hardware-aware runtimes for near-term devices.
Signals in focus3
MPhil thesis mapping Collatz trajectories to operator/tensor-network search heuristics (with Prof. Adrian Po).
Maintainer for Piquasso (photonic) and contributor to ffsim (fermionic) with reproducibility checklists.
Quantum many-body systems, sensing, and neutral-atom control, linking NV-center metrology, dipolar gases, and Rydberg platforms to practical calibration and control tooling.
Signals in focus3
NV-center Hamiltonian estimation and sensing workflows (Feb 2023–Jan 2024).
Dipolar 168Er BEC studies presented at APS DAMOP 2020.
