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quant-ph2025

Enhancing the Dynamic Range of Quantum Sensing via Quantum Circuit Learning

Hideaki Kawaguchi, Yuichiro Mori, Takahiko Satoh +1

Quantum metrology is a promising application of quantum technologies, enabling the precise measurement of weak external fields at a local scale. In typical quantum sensing protocol…

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

Quantum Circuit Learning Using Non-Integrable System Dynamics

Ryutaro Sato, Yasuhiro Aota, Takaharu Yoishida +4

Quantum machine learning is an approach that aims to improve the performance of machine learning methods by leveraging the properties of quantum computers. In quantum circuit learn…

quant-ph2025

Theoretical study of the Spectroscopic measurements of Kerr non-linear resonators with four-body interaction

Yuichiro Matsuzaki, Yuichiro Mori, Aiko Yamaguchi +2

Quantum annealing provides a promising way to solve combinational optimization problems where the solutions correspond to the ground state of the Ising Hamiltonian. We can implemen…

quant-ph2024

Single-qubit rotations on a binomial code without ancillary qubits

Yuki Tanaka, Yuichiro Mori, Yuta Shingu +3

Great attention has been paid to binomial codes utilizing bosonic systems as logical qubits with error correction capabilities. However, implementing single-qubit rotation operatio…

quant-ph2024

Proposal to experimentally evaluate the adiabatic condition of quantum annealing in coupled systems of Kerr parametric oscillators

Yuichiro Mori, Harunobu Hiratsuka, Yuichiro Matsuzaki

Quantum annealing (QA) is an algorithm to find the ground state of the problem Hamiltonian by using an adiabatic time evolution. An approach to evaluate adiabaticity in the experim…