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Research

Research & lead at a glance

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.

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Inho Choi portrait

Quantum information researcher & systems engineer

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

커리어 타임라인

학업·연구 여정

HKUST 학부→MPhil 학업과 IBM Quantum, NV 센터, 리드버그 연구조교 경험을 한 흐름으로 정리했습니다. 전체 CV는 문의 폼이나 이메일로 요청하세요. /cv.pdf가 최신 스냅샷입니다.

CV 보기Email

수상·자격

입학 전액 장학금, Qiskit Advocate, Dean's List

우수 신입생 전액 장학금

장학

HKUST 입학 장학금으로 학부 연구 트랙을 시작.

Qiskit Advocate (2021–현재)

커뮤니티

글로벌 커뮤니티 멘토링과 커리큘럼 기여를 인정받아 선정.

Dean's List (School of Science)

우등

2023-24 가을학기 상위 10% (양자정보·AMO 과목 우수).

2024년 1월 – 2025년 8월

물리학 MPhil (양자정보)

In focus

회로 복잡도, 텐서 네트워크 모델링, 해밀토니언 추정 워크플로를 연구하며 이론과 제어 가능한 장치를 잇습니다.

  • 양자정보 이론: 회로 복잡도와 콜라츠 영감 알고리즘(MPhil 논문)
  • 광자·페르미온 시뮬레이터를 위한 텐서 네트워크 모델링·압축, 인터랙티브 시각화
  • NV 센터 시뮬레이션과 계측 데이터를 잇는 해밀토니언 추정 파이프라인
Impact

Talks and recognition

Invited sessions, challenge podiums, and proof points for the research practice.

강연 요청프레스·글 더 보기

Talks

Conference sessions and invited sharing.

2 · Talks
Jul 2022Goyang, KR

Robust state discrimination using a geometric gate

NANO KOREA 2022 Symposium

Presented geometric-gate state discrimination for superconducting qubits at NANO KOREA 2022.

Event page
Jun 2020Virtual

Efficient production of Bose-Einstein Condensates of 168Er

APS DAMOP Meeting

Shared dipolar BEC production techniques enabling long-range interaction studies for ultracold erbium atoms.

Event page

Awards

Scholarships, hackathon podiums, and academic distinctions reinforcing the research work.

7 · Awards
Sep 2025Connected DMV · Quantum World Congress

Global Industry Challenge – JPMorgan Chase (Winner)

Winner on the JPMorgan Chase track for the Johnson Graph Spectral Mixer QAOA design.

Sep 2025Connected DMV

Global Industry Challenge – Wells Fargo (2nd Place)

Second place with a constant-depth, ancilla-free circuit for measurement-driven evolution on the Wells Fargo track.

Sep 2025Connected DMV

Global Industry Challenge – World Bank (Finalist)

Finalist for a quantum-enhanced climate risk insurance model for Philippine cyclone scenarios.

Feb 2024HKUST

Dean's List, School of Science

Top 10% in Fall 2023–24 with TGA of at least 3.7 across 12+ credits.

Jan 2023MIT

iQuHack – IonQ Remote Challenge (3rd Place)

Quantum Image Classifier: Fashion-MNIST using quantum transfer learning tuned for IonQ hardware.

Apr 2021Yale/Stanford Quantum Coalition

QCHack - IBM Technical Challenge (2nd Place)

Ternary extrapolation of Grover's Algorithm for fast database search via Qiskit Pulse.

Sep 2018HKUST

Entrance Scholarship for Academic Excellence

USD18,000 full-tuition entrance scholarship recognizing academic excellence.

Research

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.

Research

Quantum information & computation

Quantum informationArea 1
Open area page

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.

+1

ResearchQuantum information

Research

Quantum matter, control, and simulation

Quantum matter & controlArea 2
Open area page

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.

+1

ResearchQuantum matter & control

Research

Science for AI

Science for AIArea 3
Open area page

Performance- and hardware-efficient AI, building tools that make models faster, leaner, and more reliable on real-world compute.

Signals in focus3
  • Designing physics-style invariants and conservation checks as eval hooks for models.
  • Curating benchmark traces that reveal robustness and calibration gaps.

+1

ResearchScience for AI