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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…
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…
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…
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…
Demonstration of the excited-state search on the D-wave quantum annealer
Takashi Imoto, Yuki Susa, Ryoji Miyazaki +2
Quantum annealing is a way to prepare an eigenstate of the problem Hamiltonian. Starting from an eigenstate of a trivial Hamiltonian, we slowly change the Hamiltonian to the proble…
A general method to construct mean field counter diabatic driving for a ground state search
Hiroshi Hayasaka, Takashi Imoto, Yuichiro Matsuzaki +1
The counter diabatic (CD) driving has attracted much attention for suppressing non-adiabatic transition in quantum annealing (QA). However, it can be intractable to construct the C…