40 citations · 85 across the 12 of their papers we have counts for
12 papers
Quantum many-body simulation of finite-temperature systems with sampling a series expansion of a quantum imaginary-time evolution
Norifumi Matsumoto, Shoichiro Tsutsui, Yuya O. Nakagawa +5
Simulating thermal-equilibrium properties at finite temperature is crucial for studying quantum many-body systems. Quantum computers are expected to enable us to simulate large sys…
Practical quantum advantage on partially fault-tolerant quantum computer
Riki Toshio, Yutaro Akahoshi, Jun Fujisaki +3
Achieving quantum speedups in practical tasks remains challenging for current noisy intermediate-scale quantum (NISQ) devices. These devices always encounter significant obstacles…
Compilation of Trotter-Based Time Evolution for Partially Fault-Tolerant Quantum Computing Architecture
Yutaro Akahoshi, Riki Toshio, Jun Fujisaki +3
Achieving practical quantum speedup with limited resources is a crucial challenge in both academic and industrial communities. To address this, a partially fault-tolerant quantum c…
Subspace-Based Local Compilation of Variational Quantum Circuits for Large-Scale Quantum Many-Body Simulation
Shota Kanasugi, Yuichiro Hidaka, Yuya O. Nakagawa +5
Simulation of quantum many-body systems is a promising application of quantum computers. However, implementing the time-evolution operator as a quantum circuit efficiently on near-…
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…
Synergetic quantum error mitigation by randomized compiling and zero-noise extrapolation for the variational quantum eigensolver
Tomochika Kurita, Hammam Qassim, Masatoshi Ishii +3
We propose a quantum error mitigation strategy for the variational quantum eigensolver (VQE) algorithm. We find, via numerical simulation, that very small amounts of coherent noise…
A Practical and Scalable Decoder for Topological Quantum Error Correction with Digital Annealer
Jun Fujisaki, Hirotaka Oshima, Shintaro Sato +1
Quantum error correction is one of the most important milestones for realization of large-scale quantum computation. To achieve this, it is essential not only to integrate a large…