Patents by Inventor Gyu Boong JO

Gyu Boong JO has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240170925
    Abstract: A high-power single-frequency laser system and a method for implementing the same. The system and method require only a photodetector (110) and a narrow optical bandpass filter (108) to probe the spectral mode of slave laser (106), no additional bulky devices are required. The photodetector (110) and narrow optical bandpass filter (108) can be easily integrated into the beam path. The spectral mode of slave laser (106) is monitored through the reflected signal from the narrow-laser line filter (108), which is neither sensitive to beam alignment nor bandwidth limited. As a result, high spectral mode purity and low intensity noise of the slave laser (106) can be simultaneously obtained. The slave laser (106) can be locked even when the master laser (102) frequency is dynamically scanned over GHIz range. The system and method can be applied in laser cooling and trapping of atoms towards degenerate dipolar quantum gases.
    Type: Application
    Filed: April 19, 2022
    Publication date: May 23, 2024
    Inventors: Gyu Boong JO, Peng CHEN, Ziting CHEN, Bojeong SEO, Mingchen HUANG, Mithilesh Kumar PARIT
  • Publication number: 20220415036
    Abstract: A method for analyzing experimental data related to quantum system by using neural network by an electronic device is provided. The method includes: generating a training dataset according to experimental data; performing one or more filtering operations on the training dataset to generate one or more filtered training datasets respectively corresponding to the filtering operations; training a first neural network and a second neural network by inputting the original and filtered training datasets; evaluating the first and the second neural network; obtaining one or more classification accuracies of the first and the second neural network; identifying the differences between pairs of classification accuracies; and determining impact level of each information preserved or removed by each of the filtering operations according to the differences.
    Type: Application
    Filed: June 22, 2022
    Publication date: December 29, 2022
    Inventors: Gyu Boong JO, Junwei LIU, Entong ZHAO, Chengdong HE, Zejian REN, Elnur HAJIYEV, Jeongwon LEE