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- Keio UniversityJP9 papers
- Mizuho Research & Technologies, Ltd. (Japan)JP9 papers
- Nagoya City UniversityJP7 papers
- Mitsubishi UFJ Financial Group, Inc. (Japan)JP6 papers
- IBM Research - TokyoJP5 papers
- National Astronomical Observatory of JapanJP4 papers
- Kansai UniversityJP3 papers
- Korea Astronomy and Space Science InstituteKR3 papers
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6 papers · 1 filter
The Present and Future of Discrete Logarithm Problems on Noisy Quantum Computers
Yoshinori Aono, Sitong Liu, Tomoki Tanaka +4
The discrete logarithm problem (DLP) is the basis for several cryptographic primitives. Since Shor's work, it has been known that the DLP can be solved by combining a polynomial-si…
Noisy quantum amplitude estimation without noise estimation
Tomoki Tanaka, Shumpei Uno, Tamiya Onodera +2
Many quantum algorithms contain an important subroutine, the quantum amplitude estimation. As the name implies, this is essentially the parameter estimation problem and thus can be…
Static analysis for coupled nonlinear Klein-Gordon equations with asymmetric parameter settings
Yasuhiro Takei, Yoritaka Iwata
Klein-Gordon equations describe the dynamics of waves/particles in sub-atomic scales. For a system of nonlinear Klein-Gordon equations, a systematic analysis of the time evolution…
ASAT: Adaptively Scaled Adversarial Training in Time Series
Zhiyuan Zhang, Wei Li, Ruihan Bao +3
Adversarial training is a method for enhancing neural networks to improve the robustness against adversarial examples. Besides the security concerns of potential adversarial exampl…
Linear Regression by Quantum Amplitude Estimation and its Extension to Convex Optimization
Kazuya Kaneko, Koichi Miyamoto, Naoyuki Takeda +1
Linear regression is a basic and widely-used methodology in data analysis. It is known that some quantum algorithms efficiently perform least squares linear regression of an expone…
Approximate amplitude encoding in shallow parameterized quantum circuits and its application to financial market indicator
Kouhei Nakaji, Shumpei Uno, Yohichi Suzuki +6
Efficient methods for loading given classical data into quantum circuits are essential for various quantum algorithms. In this paper, we propose an algorithm called Approximate Amp…