101 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- IBM Research - TokyoJP4 papers
- Keio UniversityJP4 papers
- Mitsubishi UFJ Financial Group, Inc. (Japan)JP4 papers
- Mizuho (Japan)JP3 papers
- Mizuho Research & Technologies, Ltd. (Japan)JP3 papers
- Akita Prefectural UniversityJP2 papers
- The University of OsakaJP2 papers
- The University of TokyoJP2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Computing CenterRU1 paper
- Georgia Institute of TechnologyUS1 paper
- Graduate School USAUS1 paper
12 papers
Determining parameters of Kerr black holes at finite distance by shadow observation
Kenta Hioki, Umpei Miyamoto
We propose a new method to determine the physical parameters of Kerr black holes (namely, specific angular momentum , inclination angle , and distance from an observer) o…
Approximate complex amplitude encoding algorithm and its application to data classification problems
Naoki Mitsuda, Tatsuhiro Ichimura, Kouhei Nakaji +6
Quantum computing has a potential to accelerate the data processing efficiency, especially in machine learning, by exploiting special features such as the quantum interference. The…
Determining parameters of a spherical black hole with a thin accretion disk by observing its shadow
Kenta Hioki, Umpei Miyamoto
We revisit the classic system of a spherically symmetric black hole in general relativity (i.e., a Schwarzschild black hole) surrounded by a geometrically thin accretion disk. Our…
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…
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…
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…
Dynamical Transition from a Naked Singularity to a Black Hole
Kenta Hioki, Tomohiro Harada
We show that a Reissner-Nordström (RN) black hole can be formed by dropping a charged thin dust shell onto a RN naked singularity. This is in contrast to the fact that a RN naked s…
Probability density function of SDEs with unbounded and path--dependent drift coefficient
Dai Taguchi, Akihiro Tanaka
In this paper, we first prove that the existence of a solution of SDEs under the assumptions that the drift coefficient is of linear growth and path--dependent, and diffusion coeff…
On relative and overconvergent de Rham-Witt cohomology for log schemes
Hironori Matsuue
We construct the relative log de Rham-Witt complex. This is a generalization of the relative de Rham-Witt complex of Langer-Zink to log schemes. We prove the comparison theorem bet…
Order Estimates for the Exact Lugannani-Rice Expansion
Takashi Kato, Jun Sekine, Kenichi Yoshikawa
The Lugannani-Rice formula is a saddlepoint approximation method for estimating the tail probability distribution function, which was originally studied for the sum of independent…
Quantum Secret Sharing Schemes and Reversibility of Quantum Operations
Tomohiro Ogawa, Akira Sasaki, Mitsugu Iwamoto +1
Quantum secret sharing schemes encrypting a quantum state into a multipartite entangled state are treated. The lower bound on the dimension of each share given by Gottesman [Phys.…
On Fractional Tempered Stable Motion
C. Houdré, R. Kawai
Fractional tempered stable motion (fTSm)} is defined and studied. FTSm has the same covariance structure as fractional Brownian motion, while having tails heavier than Gaussian but…