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양자 어셈블리어 분석을 통한 양자 컴퓨터의 구동 시간 예측
황용수(Y. Hwang),최병수(B.-S. Choi) 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
We estimate a running time of a quantum computer from the analysis on a quantum assembly code. For the estimation, we assume 2D lattice for a quantum computer structure and a scheduling that exploits the high parallelism. From the study, we show that it is possible to solve a problem, impossible to solve with even a digital supercomputer, within a few seconds by using a quantum computer.
황용수,김태완,백충헌,조성운,김홍석,최병수,Hwang, Y.,Kim, T.W.,Baek, C.H.,Cho, S.U.,Kim, H.S.,Choi, B.S. 한국전자통신연구원 2022 전자통신동향분석 Vol.37 No.2
Similar to present computers, quantum computers comprise quantum bits (qubits) and an operating system. However, because the quantum states are fragile, we need to correct quantum errors using entangled physical qubits with quantum error correction (QEC) codes. The combination of entangled physical qubits with a QEC protocol and its computational model are called a logical qubit and fault-tolerant quantum computation, respectively. Thus, QEC is the heart of fault-tolerant quantum computing and overcomes the limitations of noisy intermediate-scale quantum computing. Therefore, in this study, we briefly survey the status of QEC codes and the physical implementation of logical qubit over various qubit technologies. In summary, we emphasize 1) the error threshold value of a quantum system depends on the configurations and 2) therefore, we cannot set only any specific theoretical and/or physical experiment suggestion.
백충헌,황용수,김태완,최병수,Baek, C.H.,Hwang, Y.S.,Kim, T.W.,Choi, B.S. 한국전자통신연구원 2018 전자통신동향분석 Vol.33 No.1
The calculation speed of quantum computing is expected to outperform that of existing supercomputers with regard to certain problems such as secure computing, optimization problems, searching, and quantum chemistry. Many companies such as Google and IBM have been trying to make 50 superconducting qubits, which is expected to demonstrate quantum supremacy and those quantum computers are more advantageous in computing power than classical computers. However, quantum computers are expected to be applicable to solving real-world problems with superior computing power. This will require large scale quantum computing with many more qubits than the current 50 qubits available. To realize this, first, quantum error correction codes are required to be capable of computing within a sufficient amount of time with tolerable accuracy. Next, a compiler is required for the qubits encoded by quantum error correction codes to perform quantum operations. A large-scale quantum computer is therefore predicted to be composed of three essential components: a programming environment, layout mapping of qubits, and quantum processors. These components analyze how many numbers of qubits are needed, how accurate the qubit operations are, and where they are placed and operated. In this paper, recent progress on large-scale quantum computing and the relation of their components will be introduced.