4 papers
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…
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…
Variational quantum-neural hybrid imaginary time evolution
Hiroki Kuji, Tetsuro Nikuni, Yuta Shingu
Numerous methodologies have been proposed to implement imaginary time evolution (ITE) on quantum computers. Among these, variational ITE (VITE) methods for noisy intermediate-scale…
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…