Representation Theoretic Approach to Quantum Error Correction and Human Resource Development of Quantum Computing
| Reference No. | 2023a007 |
|---|---|
| Type/Category | Grant for General Research-Short-term Joint Research |
| Title of Research Project | Representation Theoretic Approach to Quantum Error Correction and Human Resource Development of Quantum Computing |
| Principal Investigator | Yasuyoshi Yonezawa（Quantinuum K.K.・Quantum Software Outreach Officer） |
| Research Period |
September 11,2023. ～
September 15,2023. |
| Keyword(s) of Research Fields | Quantum computing, Quantum error correction, Human resource development of quantum computing |
| Abstract for Research Report |
Based on the current status of quantum computing and our activities of FY2022 IMI General Research-Short-term Joint Research (Organizing Committee members are the same as this year), the objectives of this research are as follows. Objective 1. Research on quantum error correction theory using a representation-theoretic approach: During the activities in FY2022, we reaffirmed that the implementation of quantum error correction is one of the key problems in the field of quantum computing, which is the key to achieving quantum advantage and must be solved. Since quantum error correction theory is closely related to the representation theory of quantum groups, the organizing committee members will use their previous work on representation theory to discuss how to solve the key problem and introduce new perspectives in quantum computing. For these reasons, we will focus on quantum error correction theory in FY2023. Objective 2. Human resource development of quantum computing: In 2022, the number of qubits in IBM's quantum devices increased from 127 to 433. Based on the roadmaps for the development of quantum computers by various companies, the number of qubits is expected to increase certainly in the future. As the number of available devices also increases, it is important to continue to train quantum computing, and we will continue to develop human resources in quantum computing in FY2023. In FY2022, we provided lectures on quantum computing and quantum computing exercises. In FY2023, we will provide a content that includes the same content as in FY 2022, as well as a new learning content. Expected Outcome: In the Objective 1 effort, we will contribute to the field of quantum computing by solving problems in quantum error correction theory using a representation-theoretic approach. Contribute to the development of researchers with knowledge of quantum computing by working on Objective 2. |
| Organizing Committee Members (Workshop) Participants (Short-term Joint Usage) |
Yasuyoshi Yonezawa（Quantinuum K.K.・Quantum Software Outreach Officer） Hiroyuki Ochiai（Institute of Mathematics for Industry, Kyushu University・Professor） Jun Murakami（Faculty of Science and Engineering, Waseda University・Professor） |