TY - GEN
T1 - Performance Comparison of Quantum Phase Estimation Algorithm with Different Number of Register Qubits on Noisy Quantum Processor
AU - Ha, Jinyoung
AU - Heo, Jun
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MIST) (No. 2019R1A2C2010061)
Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/23
Y1 - 2021/8/23
N2 - In the process of implementing a quantum algorithm as a quantum circuit, the error rate of an actual quantum computer should be considered. In this paper, we confirm through simulation that the one control qubit quantum phase estimation algorithm performs better than the many control qubit quantum phase estimation algorithm on the noisy quantum processor. We use QISKit to simulate a quantum phase estimation algorithm. We performed the simulation considering the error rate of the IBM Q quantum processor. The error rate of the one control qubit quantum phase estimation algorithm is compared with the many control qubit quantum phase estimation algorithm.
AB - In the process of implementing a quantum algorithm as a quantum circuit, the error rate of an actual quantum computer should be considered. In this paper, we confirm through simulation that the one control qubit quantum phase estimation algorithm performs better than the many control qubit quantum phase estimation algorithm on the noisy quantum processor. We use QISKit to simulate a quantum phase estimation algorithm. We performed the simulation considering the error rate of the IBM Q quantum processor. The error rate of the one control qubit quantum phase estimation algorithm is compared with the many control qubit quantum phase estimation algorithm.
KW - Quantum Algorithm
KW - Quantum Circuit Simulation
KW - Quantum Phase Estimation
UR - http://www.scopus.com/inward/record.url?scp=85117498099&partnerID=8YFLogxK
U2 - 10.1109/TENSYMP52854.2021.9550939
DO - 10.1109/TENSYMP52854.2021.9550939
M3 - Conference contribution
AN - SCOPUS:85117498099
T3 - TENSYMP 2021 - 2021 IEEE Region 10 Symposium
BT - TENSYMP 2021 - 2021 IEEE Region 10 Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Region 10 Symposium, TENSYMP 2021
Y2 - 23 August 2021 through 25 August 2021
ER -