4 papers
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…
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…
Light-cone feature selection for quantum machine learning
Yudai Suzuki, Rei Sakuma, Hideaki Kawaguchi
Feature selection plays an essential role in improving the predictive performance and interpretability of trained models in classical machine learning. On the other hand, the usabi…