Výsledky vyhledávání - "Maruyama, Kazunori"

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Quantum many-body simulation of finite-temperature systems with sampling a series expansion of a quantum imaginary-time evolution

Autor: Matsumoto, Norifumi, Tsutsui, Shoichiro, Nakagawa, Yuya O., Hidaka, Yuichiro, Kanasugi, Shota, Maruyama, Kazunori, Oshima, Hirotaka, Sato, Shintaro

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 systems at finite temperatures, overcoming challenges faced by classical

Externí odkaz: http://arxiv.org/abs/2409.07070

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Subspace-Based Local Compilation of Variational Quantum Circuits for Large-Scale Quantum Many-Body Simulation

Autor: Kanasugi, Shota, Hidaka, Yuichiro, Nakagawa, Yuya O., Tsutsui, Shoichiro, Matsumoto, Norifumi, Maruyama, Kazunori, Oshima, Hirotaka, Sato, Shintaro

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-term devices with limited resources is challenging. Standard approache

Externí odkaz: http://arxiv.org/abs/2407.14163

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Quantum error correction with an Ising machine under circuit-level noise

Autor: Fujisaki, Jun, Maruyama, Kazunori, Oshima, Hirotaka, Sato, Shintaro, Sakashita, Tatsuya, Takeuchi, Yusaku, Fujii, Keisuke

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 including measurement errors should be considered in case of actual qua

Externí odkaz: http://arxiv.org/abs/2308.00369

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Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data

Autor: Chinzei, Koki, Tran, Quoc Hoan, Maruyama, Kazunori, Oshima, Hirotaka, Sato, Shintaro

Publikováno v: Phys. Rev. Research 6, 023042 (2024)

The quantum convolutional neural network (QCNN) is a promising quantum machine learning (QML) model that is expected to achieve quantum advantages in classically intractable problems. However, the QCNN requires a large number of measurements for data

Externí odkaz: http://arxiv.org/abs/2306.07331

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Computation of Green's function by local variational quantum compilation

Autor: Kanasugi, Shota, Tsutsui, Shoichiro, Nakagawa, Yuya O., Maruyama, Kazunori, Oshima, Hirotaka, Sato, Shintaro

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 the Green's function is a notoriously challenging task on classical co

Externí odkaz: http://arxiv.org/abs/2303.15667

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Partially Fault-tolerant Quantum Computing Architecture with Error-corrected Clifford Gates and Space-time Efficient Analog Rotations

Autor: Akahoshi, Yutaro, Maruyama, Kazunori, Oshima, Hirotaka, Sato, Shintaro, Fujii, Keisuke

Publikováno v: PRX Quantum 5, 010337 (2024)

Quantum computers are expected to bring drastic acceleration to several computing tasks against classical computers. Noisy intermediate-scale quantum (NISQ) devices, which have tens to hundreds of noisy physical qubits, are gradually becoming availab

Externí odkaz: http://arxiv.org/abs/2303.13181

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Dissertation/ Thesis

Genome sequencing technology : improvement of the electrophoretic sequencing process and analysis of the sequencing tool industry

Autor: Maruyama, Kazunori, Ph. D. Mie University

Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2005.
Includ

Externí odkaz: http://hdl.handle.net/1721.1/34868

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