Publications

Peer-reviewed

• Kazuki Sakamoto, Hayata Morisaki, Junichi Haruna, Etsuko Itou, Keisuke Fujii, Kosuke Mitarai, End-to-end complexity for simulating the Schwinger model on quantum computers, Quantum 8, 1474 (2024)
• Norihito Shirai, Kenji Kubo, Kosuke Mitarai, Keisuke Fujii, Quantum tangent kernel, Physical Review Research 6, 033179 (2024)
• Yuichiro Nakano, Hideaki Hakoshima, Kosuke Mitarai, Keisuke Fujii, Markov-chain Monte Carlo method enhanced by a quantum alternating operator ansatz, Physical Review Research 6, 033105 (2024)
• Tsubasa Ichikawa, Hideaki Hakoshima, Koji Inui, Kosuke Ito, Ryo Matsuda, Kosuke Mitarai, Koichi Miyamoto, Wataru Mizukami, Kaoru Mizuta, Toshio Mori, Yuichiro Nakano, Akimoto Nakayama, Ken N. Okada, Takanori Sugimoto, Souichi Takahira, Nayuta Takemori, Satoyuki Tsukano, Hiroshi Ueda, Ryo Watanabe, Yuichiro Yoshida, Keisuke Fujii, Current numbers of qubits and their uses, Nature Reviews Physics 6, 345 (2024)
• Kohei Morimoto, Yusuke Takase, Kosuke Mitarai, Keisuke Fujii, Continuous optimization by quantum adaptive distribution search, Physical Review Research 6, 023191 (2024)
• Yuki Sano, Kosuke Mitarai, Naoki Yamamoto, Naoki Ishikawa, Accelerating Grover Adaptive Search: Qubit and Gate Count Reduction Strategies With Higher Order Formulations, IEEE Transactions on Quantum Engineering 5, 3101712 (2024)
• Akhil Pratap Singh, Kosuke Mitarai, Yasunari Suzuki, Kentaro Heya, Yutaka Tabuchi, Keisuke Fujii, Yasunobu Nakamura, Experimental demonstration of a high-fidelity virtual two-qubit gate, Physical Review Research 6, 013235 (2024)
• Kosuke Mitarai, Machine learning assisted by quantum computers, JSAP Review 2024, 240301 (2024)
• Wataru Inoue, Koki Aoyama, Yusuke Teranishi, Keita Kanno, Yuya O. Nakagawa, Kosuke Mitarai, Almost optimal measurement scheduling of molecular Hamiltonian via finite projective plane, Physical Review Research 6, 013096 (2024)
• Mitsuki Katsuda, Kosuke Mitarai, Keisuke Fujii, Simulation and performance analysis of quantum error correction with a rotated surface code under a realistic noise model, Physical Review Research 6, 013024 (2024)
• Ken N. Okada, Keita Osaki, Kosuke Mitarai, Keisuke Fujii, Classically optimized variational quantum eigensolver with applications to topological phases, Physical Review Research 5, 043217 (2023)
• Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto, Kosuke Mitarai, The cross-sectional stock return predictions via quantum neural network and tensor network, Quantum Machine Intelligence 5, 46 (2023)
• Kosuke Mitarai, Kiichiro Toyoizumi, Wataru Mizukami, Perturbation theory with quantum signal processing, Quantum 7, 1000 (2023)
• Kentaro Heya, Ken M. Nakanishi, Kosuke Mitarai, Zhiguang Yan, Kun Zuo, Yasunari Suzuki, Takanori Sugiyama, Shuhei Tamate, Yutaka Tabuchi, Keisuke Fujii, Yasunobu Nakamura, Subspace variational quantum simulator, Physical Review Research 5, 023078 (2023)
• Kenji Kubo, Koichi Miyamoto, Kosuke Mitarai, Keisuke Fujii, Pricing Multi-asset Derivatives by Variational Quantum Algorithms, IEEE Transactions on Quantum Engineering 4, 1 (2023)
• Yoshiaki Kawase, Kosuke Mitarai, Keisuke Fujii, Parametric t-stochastic neighbor embedding with quantum neural network, Physical Review Research 4, 043199 (2022)
• Luca Erhart, Kosuke Mitarai, Wataru Mizukami, Keisuke Fujii, Constructing Local Bases for a Deep Variational Quantum Eigensolver for Molecular Systems, Physical Review Applied 18, 064051 (2022)
• Shigeo Hakkaku, Yuichiro Tashima, Kosuke Mitarai, Wataru Mizukami, Keisuke Fujii, Quantifying fermionic nonlinearity of quantum circuits, Physical Review Research 4, 043100 (2022)
• Kaoru Mizuta, Yuya O. Nakagawa, Kosuke Mitarai, Keisuke Fujii, Local Variational Quantum Compilation of Large-Scale Hamiltonian Dynamics, PRX Quantum 3, 040302 (2022)
• Masaya Kohda, Ryosuke Imai, Keita Kanno, Kosuke Mitarai, Wataru Mizukami, Yuya O. Nakagawa, Quantum expectation-value estimation by computational basis sampling, Physical Review Research 4, 033173 (2022)
• Kosuke Mitarai, Yasunari Suzuki, Wataru Mizukami, Yuya O. Nakagawa, Keisuke Fujii, Quadratic Clifford expansion for efficient benchmarking and initialization of variational quantum algorithms, Physical Review Research 4, 033012 (2022)
• Fumiyoshi Kobayashi, Kosuke Mitarai, Keisuke Fujii, Parent Hamiltonian as a benchmark problem for variational quantum eigensolvers, Physical Review A 105, 052415 (2022)
• Keisuke Fujii, Kaoru Mizuta, Hiroshi Ueda, Kosuke Mitarai, Wataru Mizukami, Yuya O. Nakagawa, Deep Variational Quantum Eigensolver: a divide-and-conquer method for solving a larger problem with smaller size quantum computers, PRXQuantum 3, 010346 (2022)
• Yohei Ibe, Yuya O. Nakagawa, Nathan Earnest, Takahiro Yamamoto, Kosuke Mitarai, Qi Gao, Takao Kobayashi, Calculating transition amplitudes by variational quantum deflation, Physical Review Research 4, 013173 (2022)
• Ryotaro Suzuki, Kosuke Mitarai, Keisuke Fujii, Computational power of one- and two-dimensional dual-unitary quantum circuits, Quantum 6, 631 (2022)
• Shigeo Hakkaku, Kosuke Mitarai, Keisuke Fujii, Sampling-based quasiprobability simulation for fault-tolerant quantum error correction on the surface codes under coherent noise, Physical Review Research 3, 043130 (2021)
• Yasunari Suzuki, Yoshiaki Kawase, Yuya Masumura, Yuria Hiraga, Masahiro Nakadai, Jiabao Chen, Ken M. Nakanishi, Kosuke Mitarai, Ryosuke Imai, Shiro Tamiya, Takahiro Yamamoto, Tennin Yan, Toru Kawakubo, Yuya O. Nakagawa, Yohei Ibe, Youyuan Zhang, Hirotsugu Yamashita, Hikaru Yoshimura, Akihiro Hayashi, Keisuke Fujii, Qulacs: a fast and versatile quantum circuit simulator for research purpose, Quantum 5, 559 (2021)
• M. Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, Patrick J. Coles, Variational quantum algorithms, Nature Reviews Physics 3, 625 (2021)
• Takeru Kusumoto, Kosuke Mitarai, Keisuke Fujii, Masahiro Kitagawa, Makoto Negoro, Experimental quantum kernel trick with nuclear spins in a solid, npj Quantum Information 7, 94 (2021)
• Yuto Takaki, Kosuke Mitarai, Makoto Negoro, Keisuke Fujii, Masahiro Kitagawa, Learning temporal data with a variational quantum recurrent neural network, Physical Review A 103, 052414 (2021)
• Kosuke Mitarai, Keisuke Fujii, Constructing a virtual two-qubit gate by sampling single-qubit operations, New Journal of Physics 23, 023021 (2021)
• Kosuke Mitarai, Keisuke Fujii, Overhead for simulating a non-local channel with local channels by quasiprobability sampling, Quantum 5, 388 (2021)
• Makoto Negoro, Kosuke Mitarai, Kohei Nakajima, Keisuke Fujii, Toward NMR Quantum Reservoir Computing, Natural Computing Series null, 451 (2021)
• Nobuyuki Yoshioka, Yuya O. Nakagawa, Kosuke Mitarai, Keisuke Fujii, Variational quantum algorithm for nonequilibrium steady states, Physical Review Research 2, 043289 (2020)
• Wataru Mizukami, Kosuke Mitarai, Yuya O. Nakagawa, Takahiro Yamamoto, Tennin Yan, Yu-ya Ohnishi, Orbital optimized unitary coupled cluster theory for quantum computer, Physical Review Research 2, 033421 (2020)
• Kosuke Mitarai, Ryo Okuhata, Jinichiro Chikada, Tatsuya Kaneko, Yuto Uematsu, Yuki Komatsubara, Takafumi Ishibe, Yoshiaki Nakamura, An advanced 2ω method enabling thermal conductivity measurement for various sample thicknesses: From thin films to bulk materials, Journal of Applied Physics 128, 015102 (2020)
• Kosuke Mitarai, Yuya O. Nakagawa, Wataru Mizukami, Theory of analytical energy derivatives for the variational quantum eigensolver, Physical Review Research 2, 013129 (2020)
• Ken M Nakanishi, Kosuke Mitarai, Keisuke Fujii, Subspace-search variational quantum eigensolver for excited states, Physical Review Research 1, 033062 (2019)
• Kosuke Mitarai, Keisuke Fujii, Methodology for replacing indirect measurements with direct measurements, Physical Review Research 1, 013006 (2019)
• Kosuke Mitarai, Tennin Yan, Keisuke Fujii, Generalization of the output of variational quantum eigensolver by parameter interpolation with low-depth ansatz, PHYSICAL REVIEW APPLIED 11, 044087 (2019)
• Kohei Nakajima, Keisuke Fujii, Makoto Negoro, Kosuke Mitarai, Masahiro Kitagawa, Boosting Computational Power through Spatial Multiplexing in Quantum Reservoir Computing, PHYSICAL REVIEW APPLIED 11, 034021 (2019)
• Kosuke Mitarai, Masahiro Kitagawa, Keisuke Fujii, Quantum Analog-Digital Conversion, PHYSICAL REVIEW A 99, 012301 (2019)
• Kosuke Mitarai, Makoto Negoro, Masahiro Kitagawa, Keisuke Fujii, Quantum Circuit Learning, PHYSICAL REVIEW A 98, 032309 (2018)

arXiv preprints

• Hitomi Mori, Kosuke Mitarai, Keisuke Fujii, Efficient state preparation for multivariate Monte Carlo simulation, arXiv:2409.07336 (2024)
• Akimoto Nakayama, Hayata Morisaki, Kosuke Mitarai, Hiroshi Ueda, Keisuke Fujii, Explicit quantum surrogates for quantum kernel models, arXiv:2408.03000 (2024)
• Don Arai, Ken N. Okada, Yuichiro Nakano, Kosuke Mitarai, Keisuke Fujii, Scalable circuit depth reduction in feedback-based quantum optimization with a quadratic approximation, arXiv:2407.17810 (2024)
• Yusei Mori, Hideaki Hakoshima, Kyohei Sudo, Toshio Mori, Kosuke Mitarai, Keisuke Fujii, Quantum Circuit Unoptimization, arXiv:2311.03805 (2023)
• Hayata Morisaki, Kosuke Mitarai, Keisuke Fujii, Yuya O. Nakagawa, Classical variational optimization of PREPARE circuit for quantum phase estimation of quantum chemistry Hamiltonians, arXiv:2308.13770 (2023)
• Adam Siegel, Kosuke Mitarai, Keisuke Fujii, Algorithmic error mitigation for quantum eigenvalues estimation, arXiv:2308.03879 (2023)
• Tsubasa Ichikawa, Hideaki Hakoshima, Koji Inui, Kosuke Ito, Ryo Matsuda, Kosuke Mitarai, Koichi Miyamoto, Wataru Mizukami, Kaoru Mizuta, Toshio Mori, Yuichiro Nakano, Akimoto Nakayama, Ken N. Okada, Takanori Sugimoto, Souichi Takahira, Nayuta Takemori, Satoyuki Tsukano, Hiroshi Ueda, Ryo Watanabe, Yuichiro Yoshida, Keisuke Fujii, A comprehensive survey on quantum computer usage: How many qubits are employed for what purposes?, arXiv:2307.16130 (2023)
• Leonardo Placidi, Ryuichiro Hataya, Toshio Mori, Koki Aoyama, Hayata Morisaki, Kosuke Mitarai, Keisuke Fujii, MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era, arXiv:2306.16627 (2023)
• Keita Kanno, Masaya Kohda, Ryosuke Imai, Sho Koh, Kosuke Mitarai, Wataru Mizukami, Yuya O. Nakagawa, Quantum-Selected Configuration Interaction: classical diagonalization of Hamiltonians in subspaces selected by quantum computers, arXiv:2302.11320 (2023)
• Akimoto Nakayama, Kosuke Mitarai, Leonardo Placidi, Takanori Sugimoto, Keisuke Fujii, VQE-generated Quantum Circuit Dataset for Machine Learning, arXiv:2302.09751 (2023)
• Iori Takeda, Souichi Takahira, Kosuke Mitarai, Keisuke Fujii, Quantum-inspired algorithm applied to extreme learning, arXiv:2209.12452 (2022)
• Naixu Guo, Kosuke Mitarai, Keisuke Fujii, Nonlinear transformation of complex amplitudes via quantum singular value transformation, arXiv:2107.10764 (2021)
• Makoto Negoro, Kosuke Mitarai, Keisuke Fujii, Kohei Nakajima, Masahiro Kitagawa, Machine learning with controllable quantum dynamics of a nuclear spin ensemble in a solid, arXiv:1806.10910 (2018)

解説/総説

• 御手洗光祐, 量子コンピュータを用いた機械学習, 応用物理 93, 19 (2024)
• 御手洗光祐, 量子特徴量と量子ニューラルネットワーク, 日本神経回路学会誌 29, 202 (2022)
• 御手洗光祐, テンソルネットワークと機械学習, 数理科学 60, 51 (2022)
• 御手洗光祐, 変分量子アルゴリズムと量子機械学習, 電子情報通信学会誌 104, 1166 (2021)
• 御手洗光祐, 量子計算は機械学習に使えるか -近未来/誤り体制量子計算のための量子アルゴリズム-, 情報処理 62, e35 (2021)
• 化学計算・機械学習 量子コンピューターの2つの挑戦, 御手洗光祐, 日経サイエンス 2020年2月号 (2020)
• 楊天任, 御手洗光祐, NISQ に向けた量子化学理論の開発, 理論化学会誌 フロンティア 2, 187 (2020)
• 御手洗光祐, 藤井啓祐, 量子コンピュータを用いた変分アルゴリズムと機械学習, 日本物理学会誌 74, 604 (2019)