4 citations · 5 across the 6 of their papers we have counts for
6 papers
Quantum Box-Muller Transform
Dinh-Long Vu, Hitomi Mori, Patrick Rebentrost
The Box-Muller transform is a widely used method to generate Gaussian samples from uniform samples. Quantum amplitude encoding methods encode the multi-variate normal distribution…
Sparsity-dependent Complexity Lower Bound of Quantum Linear System Solvers
Hitomi Mori, Yuta Kikuchi, Marcello Benedetti +1
Quantum linear system (QLS) solvers are a fundamental class of quantum algorithms used in many potential quantum computing applications, including machine learning and solving diff…
Polynomial time constructive decision algorithm for multivariable quantum signal processing
Yuki Ito, Hitomi Mori, Kazuki Sakamoto +1
Quantum signal processing (QSP) and quantum singular value transformation (QSVT) have provided a unified framework for understanding many quantum algorithms, including factorizatio…
Efficient state preparation for multivariate Monte Carlo simulation
Hitomi Mori, Kosuke Mitarai, Keisuke Fujii
Quantum state preparation is a task to prepare a state with a specific function encoded in the amplitude, which is an essential subroutine in many quantum algorithms. In this paper…
Quantum algorithm for copula-based risk aggregation using orthogonal series density estimation
Hitomi Mori, Koichi Miyamoto
Quantum Monte Carlo integration (QMCI) provides a quadratic speed-up over its classical counterpart, and its applications have been investigated in various fields, including financ…
Comment on "Multivariable quantum signal processing (M-QSP): prophecies of the two-headed oracle"
Hitomi Mori, Kaoru Mizuta, Keisuke Fujii
Multivariable Quantum Signal Processing (M-QSP) [1] is expected to provide an efficient means to handle polynomial transformations of multiple variables simultaneously. However, we…