Automated Microwave Filter Tuning Based on Successive Optimization of Phase and Amplitude Characteristics. - Yosuke Takeuchi; Koichi Ichige; Koichi Miyamoto; Yoshio Ebine (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Quantum algorithms for Monte Carlo integration using pseudo-random numbers. - Koichi Miyamoto (QCE, 2021)

Quantum speedup of Monte Carlo integration with respect to the number of dimensions and its application to finance. - Kazuya Kaneko; Koichi Miyamoto; Naoyuki Takeda; Kazuyoshi Yoshino (Quantum Inf. Process., 2021)

Gravitational wave matched filtering by quantum Monte Carlo integration and quantum amplitude amplification. - Koichi Miyamoto; Gonzalo Morrás; Takahiro S. Yamamoto; Sachiko Kuroyanagi; Savvas Nesseris (QCE, 2022)

Quantum algorithms for numerical differentiation of expected values with respect to parameters. - Koichi Miyamoto (Quantum Inf. Process., 2022)

Extracting a function encoded in amplitudes of a quantum state by tensor network and orthogonal function expansion. - Koichi Miyamoto; Hiroshi Ueda (Quantum Inf. Process., 2023)

The cross-sectional stock return predictions via quantum neural network and tensor network. - Nozomu Kobayashi; Yoshiyuki Suimon; Koichi Miyamoto; Kosuke Mitarai (Quantum Mach. Intell., 2023)

Quantum Algorithm for Copula-Based Risk Aggregation using Orthogonal Series Density Estimation. - Hitomi Mori; Koichi Miyamoto (QCE, 2024)

Time series generation for option pricing on quantum computers using tensor network. - Nozomu Kobayashi; Yoshiyuki Suimon; Koichi Miyamoto (CoRR, 2024)

Application of quantum Monte Carlo integration to Markovian backward stochastic differential equations. - Masato Fujita; Koichi Miyamoto; Jun Sekine (JSIAM Lett., 2024)