collaborators

5 papers

quant-ph2025

Quantifying the Energy Relaxation Rate of Quantum States Using D-Wave Device and the Discovery of Long-Lived Multiqubit States

Takashi Imoto, Yuki Susa, Ryoji Miyazaki +1

Quantum annealing has been demonstrated with superconducting qubits. Such a quantum annealer has been used to solve combinatorial optimization problems. Moreover, it serves as a qu…

quant-ph2025

Robust phase estimation of the ground-state energy without controlled time evolution on a quantum device

Hiroki Kuji, Yuta Shingu, Tetsuro Nikuni +3

Estimating the ground-state energy of Hamiltonians in quantum systems is an important task. In this work, we demonstrate that the ground-state energy can be accurately estimated wi…

quant-ph2025

Identification of Phase Plate Properties Using Photonic Quantum Sensor Networks

Yusuke Machida, Hiroki Kuji, Yuichiro Mori +5

Quantum sensor networks (QSNs) have been widely studied for their potential of precise measurements. While most QSN research has focused on estimating continuous variables, recent…

quant-ph2025

Universal quantum computation using quantum annealing with the transverse-field Ising Hamiltonian

Takashi Imoto, Yuki Susa, Ryoji Miyazaki +1

Quantum computation is a promising emerging technology, and by utilizing the principles of quantum mechanics, it is expected to achieve faster computations than classical computers…

quant-ph2024

Linear Regression Using Quantum Annealing with Continuous Variables

Asuka Koura, Takashi Imoto, Katsuki Ura +1

Linear regression is a data analysis technique, which is categorized as supervised learning. By utilizing known data, we can predict unknown data. Recently, researchers have explor…