I am Jonginn Yun

Name: Jonginn Yun

Email: alyuuv@snu.ac.kr | alyuuv (at) stanford (dot) edu

Phone: (+82) 010-9760-2199

[ Curriculum Vitae ]
last updated 2025. 06. 13.

Welcome. I am Jonginn Yun, an incoming Ph.D. student in the Department of Applied Physics at Stanford University. I previously worked as a Research Scientist in the Integrated Quantum Systems Lab with Prof. Dohun Kim at Seoul National University.

I am currently exploring opportunities for a lab rotation for the Fall 2025 quarter.

Research interests
Fundamental Science: Probing Novel Physical Phenomena
  • Exploration of emergent wave phenomena (photonic, phononic, RF) in custom-engineered metamaterials and nanostructures.
  • Probing and controlling coherent light-matter interactions at the quantum limit in solid-state systems.
  • Investigation of many-body quantum states and non-equilibrium dynamics in novel materials.
Applied Engineering: Device Design & Nanofabrication
  • Design and fabrication of novel devices for applications in sensing, information processing, and energy conversion.
  • Heterogeneous integration of 2D materials and other quantum materials with photonic and electronic platforms.
  • Nanofabrication of hybrid quantum systems
Education

  • 2025~: Ph.D. Student in Applied Physics, Stanford University
  • 2022: Master of Science in Physics, Seoul National University
  • 2020: Bachelor of Science, summa cum laude, in Chemistry Education and Physics, Seoul National University (ranked first in class)

Publications

(*: equal contribution)

  • J. Park*, H. Jang*, H. Sohn, J. Yun, Y. Song, B. Kang, L. Stehouwer, D. Esposti, G. Scappucci, and D. Kim, and Passive and active suppression of transduced noise in silicon spin qubits, Nat Commun. 16, 78 (2025)
  • Y. Song*, J. Yun*, J. Kim, W. Jang, H. Jang, J. Park, M.-K. Cho, H. Sohn, S. Miyamoto, K. Itoh and D. Kim, Coherence of a field-gradient-driven singlet-triplet qubit coupled to many-electron spin states in 28Si/SiGe, npj Quantum Inform. 10, 77 (2024)
  • J. Yun*, S. Son*, J. Shin*, G. Park, K. Zhang, Y. Shin, J.-G. Park and D. Kim, Magnetic Proximity-Induced Superconducting Diode Effect and Infinite Magnetoresistance in van der Waals Heterostructure, Phys. Rev. Res. 5, L022064 (2023)
  • J. Yun*, J. Park*, H. Jang, J. Kim, W. Jang, Y. Song, M.-K. Cho, H. Sohn, H. Jung, V. Umansky and D. Kim, Probing two-qubit capacitive interactions beyond bilinear regime using dual Hamiltonian parameter estimations, npj Quantum Inform. 9, 30 (2023)
  • J. Kim*, J. Yun*, W. Jang*, H. Jang, J. Park, Y. Song, M.-K. Cho, S. Sim, H. Sohn, H. Jung, V. Umansky and D. Kim, Approaching ideal visibility in singlet-triplet qubit operations using energy selective tunneling-based Hamiltonian estimation, Phys. Rev. Lett. 129, 040501 (2022)

Expertise and Skills

Cryogenics & Vacuum Systems

    Deep hands-on experience in operating and customizing cryogen-free ³He-⁴He dilution refrigerators (Triton) and ⁴He dry cryostats (Teslatron) to create ultra-low-noise environments for probing delicate quantum phenomena.

Low-Noise Electronics

    Specialized in designing and building high-precision measurement systems from the ground up. This includes custom-building breakout boxes and filters, and configuring complex RF and DC lines to achieve maximum signal integrity for sensitive quantum measurements.

Quantum Measurement & Control

    Proficient in performing sensitive low-noise AC/DC transport measurements to characterize nanoscale quantum devices. Extensive experience in high-fidelity qubit manipulation and single-shot readout using arbitrary waveform generators (AWG).

Device Nanofabrication

Computation & Data Analysis

    Extensive use of Python and C++ for instrument control, automation, and analysis of large experimental datasets. Experienced in using hardware-level languages like QUA for real-time quantum control protocols on FPGAs (Quantum Machines OPX).
    Languages
    Python
    C++
    Tools and Frameworks
    QUA, Qutip, MuMax3
    Matlab, LaTeX

Languages

    Korean (Native)
    English (Fluent)

Research Projects

Micromagnet Shape Optimization for Spin Qubits

Jan. 2025 – Jun. 2025
Description: Engineered on-chip magnetic field gradients using genetic algorithms to significantly extend qubit coherence time.

Device Fabrication

Mar. 2023 – Dec. 2024
Description: Led the full-cycle, multi-step cleanroom process to fabricate high-performance silicon quantum dot devices.

Coherent Control of Semiconductor Spin Qubits

Jan. 2022 – Feb. 2023
Description: Achieved high-fidelity qubit control and single-shot readout by implementing advanced Bayesian-based active denoising protocols.

Nonreciprocal Transport in vdW Heterostructures

Nov. 2020 – Nov. 2021
Description: Observed the first magnetic proximity-induced superconducting diode effect in a custom-fabricated vdW heterostructure.

Cryogenic & RF System Integration

Nov. 2020 – Oct. 2021
Description: Designed and built a custom low-noise infrastructure, integrating RF-reflectometry and cryogenic systems for sensitive quantum measurements.

Computational Modeling of Quantum Systems

Jun. 2020 – Jun. 2025
Description: Developed Python-based simulations to model quantum-nuclear interactions and identify key sources of decoherence in spin qubits.