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Mingyu Kang
Mingyu Kang
在 duke.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Quantum error correction with metastable states of trapped ions using erasure conversion
M Kang, WC Campbell, KR Brown
PRX Quantum 4 (2), 020358, 2023
402023
Batch optimization of frequency-modulated pulses for robust two-qubit gates in ion chains
M Kang, Q Liang, B Zhang, S Huang, Y Wang, C Fang, J Kim, KR Brown
Physical Review Applied 16 (2), 024039, 2021
312021
Designing filter functions of frequency-modulated pulses for high-fidelity two-qubit gates in ion chains
M Kang, Y Wang, C Fang, B Zhang, O Khosravani, J Kim, KR Brown
Physical Review Applied 19 (1), 014014, 2023
192023
Quantum simulation of polarized light-induced electron transfer with a trapped-ion qutrit system
K Sun, C Fang, M Kang, Z Zhang, P Zhang, DN Beratan, KR Brown, J Kim
The Journal of Physical Chemistry Letters 14 (26), 6071-6077, 2023
92023
Angle-robust two-qubit gates in a linear ion crystal
Z Jia, S Huang, M Kang, K Sun, RF Spivey, J Kim, KR Brown
Physical Review A 107 (3), 032617, 2023
92023
Efficient motional-mode characterization for high-fidelity trapped-ion quantum computing
M Kang, Q Liang, M Li, Y Nam
Quantum Science and Technology 8 (2), 024002, 2023
62023
Seeking a quantum advantage with trapped-ion quantum simulations of condensed-phase chemical dynamics
M Kang, H Nuomin, SN Chowdhury, JL Yuly, K Sun, J Whitlow, ...
Nature Reviews Chemistry, 1-19, 2024
5*2024
Quantum Simulation of Spin-Boson Models with Structured Bath
K Sun, M Kang, H Nuomin, G Schwartz, DN Beratan, KR Brown, J Kim
arXiv preprint arXiv:2405.14624, 2024
12024
Pulse optimization for high-precision motional-mode characterization in trapped-ion quantum computers
Q Liang, M Kang, M Li, Y Nam
Quantum Science and Technology 9 (3), 035007, 2024
12024
Efficient motional-mode characterization for high-fidelity trapped-ion quantum computing
M Kang, Q Liang, M Li, NAM Yunseong
US Patent App. 18/202,270, 2023
2023
Implementation of batch optimization for robust two-qubit gates for quantum computation
K Brown, M Kang, Q Liang, B Zhang
US Patent App. 17/720,955, 2022
2022
Optimal control of nanomechanical quantum memory coupled to superconducting qubit
M Kang, Z Wang, E Wollack, A Cleland, R Gruenke, N Lee, K Multani, ...
Bulletin of the American Physical Society 65, 2020
2020
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