3 papers
quant-ph2020
Modified Grover operator for amplitude estimation
Shumpei Uno, Yohichi Suzuki, Keigo Hisanaga +4
In this paper, we propose a quantum amplitude estimation method that uses a modified Grover operator and quadratically improves the estimation accuracy in the ideal case, as in the…
quant-ph2019
Analysis and synthesis of feature map for kernel-based quantum classifier
Yudai Suzuki, Hiroshi Yano, Qi Gao +4
A method for analyzing the feature map for the kernel-based quantum classifier is developed; that is, we give a general formula for computing a lower bound of the exact training ac…
quant-ph2019
Amplitude estimation without phase estimation
Yohichi Suzuki, Shumpei Uno, Rudy Raymond +3
This paper focuses on the quantum amplitude estimation algorithm, which is a core subroutine in quantum computation for various applications. The conventional approach for amplitud…