4 citations · 12 across the 8 of their papers we have counts for
10 papers
Low-nonlinearity advantage of hollow-core fiber for wavelength multiplexing of quantum entanglement and classical DWDM signals
Hikaru Shimizu, Arisa Ohno, Mao Miyasugi +7
Coexistence of classical and quantum light in optical fiber is a key requirement for scalable quantum networks. However, it is fundamentally limited by nonlinear crosstalk from int…
Perfect impedance matching unlocks sensitive radio-frequency reflectometry in 2D material quantum dots
Motoya Shinozaki, Akitomi Shirachi, Yuta Kera +7
Two-dimensional (2D) materials are attractive platforms for realizing high-performance quantum bits (qubits). However, radio-frequency (RF) charge detection, which is a key techniq…
RFSoC-based radio-frequency reflectometry in gate-defined bilayer graphene quantum devices
Motoya Shinozaki, Tomoya Johmen, Aruto Hosaka +8
Quantum computers require both scalability and high performance for practical applications. While semiconductor quantum dots are promising candidates for quantum bits, the complexi…
Quantum state estimation of multi-partite single photon path entanglement via local measurements
Hikaru Shimizu, Joe Yoshimoto, Kazufumi Tanji +5
Multipartite entanglement plays a critical role in various applications of quantum internet. In these applications, the entanglement is usually shared by the distant parties. Exper…
Programmable Quantum Linear Interference with Pulse Shaping of Quantum Light
Aruto Hosaka, Masaya Tomita, Yoshiaki Tsujimoto +6
In this paper, we propose a novel method for interfering frequency-multiplexed photonic quantum states without the use of optical nonlinear effects, and experimentally demonstrate…
Efficient Bit Labeling in Factorization Machines with Annealing for Traveling Salesman Problem
Shota Koshikawa, Aruto Hosaka, Tsuyoshi Yoshida
To efficiently find an optimum parameter combination in a large-scale problem, it is a key to convert the parameters into available variables in actual machines. Specifically, quad…
Simplification of tensor updates toward performance-complexity balanced quantum computer simulation
Koichi Yanagisawa, Tsuyoshi Okubo, Shota Koshikawa +3
Matrix Product States (MPS) provide a powerful framework for simulating quantum circuits. In practical simulations, tensor updates are typically performed in the canonical form (CF…
Application of Tensorized Neural Networks for Cloud Classification
Alifu Xiafukaiti, Devanshu Garg, Aruto Hosaka +3
Convolutional neural networks (CNNs) have gained widespread usage across various fields such as weather forecasting, computer vision, autonomous driving, and medical image analysis…
Multimode Quantum Correlations in Supercontinuum Pulses
Aruto Hosaka, Shintaro Niimura, Masaya Tomita +3
Suprecontinuum (SC) light contains complex spectral noise structure and its accurate characterization is important for fundamental understanding of its physics as well as for its a…
Preconditioning for a Variational Quantum Linear Solver
Aruto Hosaka, Koichi Yanagisawa, Shota Koshikawa +3
We apply preconditioning, which is widely used in classical solvers for linear systems , to the variational quantum linear solver. By utilizing incomplete L…