40 citations · 85 across the 12 of their papers we have counts for
6 papers · 1 filter
Comparative study of decoding the surface code using simulated annealing under depolarizing noise
Yusaku Takeuchi, Yugo Takada, Tatsuya Sakashita +4
We explored decoding methods for the surface code under depolarizing noise by mapping the problem into the Ising model optimization. We consider two kinds of mapping with and witho…
Quantum error correction with an Ising machine under circuit-level noise
Jun Fujisaki, Kazunori Maruyama, Hirotaka Oshima +4
Efficient decoding to estimate error locations from outcomes of syndrome measurement is the prerequisite for quantum error correction. Decoding in presence of circuit-level noise i…
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
Koki Chinzei, Quoc Hoan Tran, Kazunori Maruyama +2
The quantum convolutional neural network (QCNN) is a promising quantum machine learning (QML) model that is expected to achieve quantum advantages in classically intractable proble…
Variational Denoising for Variational Quantum Eigensolver
Quoc Hoan Tran, Shinji Kikuchi, Hirotaka Oshima
The variational quantum eigensolver (VQE) is a hybrid algorithm that has the potential to provide a quantum advantage in practical chemistry problems that are currently intractable…
Computation of Green's function by local variational quantum compilation
Shota Kanasugi, Shoichiro Tsutsui, Yuya O. Nakagawa +3
Computation of the Green's function is crucial to study the properties of quantum many-body systems such as strongly correlated systems. Although the high-precision calculation of…
Partially Fault-tolerant Quantum Computing Architecture with Error-corrected Clifford Gates and Space-time Efficient Analog Rotations
Yutaro Akahoshi, Kazunori Maruyama, Hirotaka Oshima +2
Quantum computers are expected to bring drastic acceleration to several computing tasks against classical computers. Noisy intermediate-scale quantum (NISQ) devices, which have ten…