Name: Jonginn Yun
Email: alyuuv@snu.ac.kr
Phone: (+82) 010-9760-2199
Research Interest
Experimental Quantum Information- Physical qubit implementation (Neutral atom, superconducting qubit, ion trap, semiconductor quantum dot, etc.)
- Digital/analog quantum simulation
- Semiconductor-superconductor hybrid system
- Transport phenomena in 2D van der Waals materials
Education
- 2025~: Ph.D. Student in Applied Physics, Stanford University (pending)
- 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)
- 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", submitted for publication, arXiv:2310.12603
- 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)
Technical Skills
Cryogenics
- Extensive experience with 3He-4He dilution refrigerators (Triton, Oxford Instruments) and 4He dry refrigerators (Teslatron, Oxford Instruments).
electronic setup
- Electronic set-up of DC lines and filters for a low noise DC measurement.
- Configuration of mixers, filters, and RF lines for a low noise RF measurement.
Measurement
- Low-noise AC and DC characterization of semiconductor quantum dot devices.
- Qubit manipulation of double electron and triple electron qubits using AWG hardwares for spin qubit application.
Computer Skills
- Extensive use of Python for analyzing experimental data.
- Extensive use of QUA language for an OPX device (Quantum Machines).
- Experienced user of Matlab, Mathematica, Origin, AutoCAD and LaTeX.
Device Fabrication
- Experienced user of e-beam lithography system (JEOL), maskless photo lithography system (Nanosystem Solutions), e-beam evaporator, dicing saw, thermal annealing system and atomic layer deposition system
- Knowledge in lift-off and etching techniques, semiconductor quantum dot device fabrication
Languages
- Korean (Native)
- English (Fluent; TOEFL: 109, GRE: V166/Q170/W4.5)
