慶應義塾大学　量子コンピューティングセンター　業績

Keio University, Quantum Computing Center Publication

 

論文[Paper]    発表・講演[Presentation]    KQCCセミナー[Seminar]    その他[Others]

 Preprint

    • Yusuke Ino, Misaki Yonekawa, Hideto Yuzawa, Yuichiro Minato, and Kenji Sugisaki, Quantum Phase Estimations of Benzene and Its Derivatives on GPGPU Quantum Simulators [arXivLink]
    • A. Sone A. Tanji and N. Yamamoto, Quantum inception score [arXivLink]
    • Qi Gao, Michihiko Sugawara, Paul D. Nation, Takao Kobayashi, Yu-ya Ohnishi, Hiroyuki Tezuka, and Naoki Yamamoto, A combined quantum-classical method applied to material design: optimization and discovery of photochromic materials for photopharmacology applications [arXivLink]
    • Y. Sano, K. Mitarai, N. Yamamoto, and N. Ishikawa, Accelerating Grover adaptive search: qubit and gate count reduction strategies with higher-order formulations [arXivLink]
    • S. Kanno, H. Nakamura, T. Kobayashi, S. Gocho, M. Hatanaka, N. Yamamoto, Q. Gao, Quantum computing quantum Monte Carlo with hybrid tensor network toward electronic structure calculations of large-scale molecular and solid systems[arXivLink]
    • H. Harada, K. Wada, and N. Yamamoto, Optimal parallel wire cutting without ancilla qubits[arXivLink]
    • K. Miyamoto, N. Yamamoto, and Y. Sakakibara, Quantum algorithm for position weight matrix matching[arXivLink]
    • K. M Nakanishi, T. Satoh, S. Todo,Quantum-gate decomposer[arXivLink]
    • N. Thumwanit, C. Lortararprasert, H. Yano, R. Raymond,Trainable Discrete Feature Embeddings for Variational Quantum Classifier[arXivLink]
    • S. Gocho, Q. Gao, T. Kobayashi, T. Inagaki, M. Hatanaka, Enhancement of Complete Active Space Self-Consistent Field (CASSCF) Calculation Accuracy on Noisy Quantum Device: Use of Spin-Restricted Ansatz and Constrained Optimizer for Photo-Excitation Calculations of Ethylene and Phenol Blue Dye[arXivLink]
    • Y. Suzuki, H. Yano, R. Raymond, and N. Yamamoto,Normalized gradient descent for variational quantum algorithms,[arXivLink]

     

 Journal

2024

  • Y. Suzuki, H. Kawaguchi, and N. Yamamoto, Quantum Fisher kernel for mitigating the vanishing similarity issue, 17 June 2024 [arXivLink][Link]
  • S. Kanno, H. Nakamura, T. Kobayashi, S. Gocho, M. Hatanaka, N. Yamamoto, Q. Gao, Quantum computing quantum Monte Carlo with hybrid tensor network for electronic structure calculations,npj Quantum Information, 10, 56 (2024) 6 June 2024 [arXivLink][Link]
  • N. Mitsuda, T. Ichimura, K. Nakaji, Y. Suzuki, T. Tanaka, R. Raymond, H. Tezuka, T. Onodera, and N. Yamamoto, Approximate complex amplitude encoding algorithm and its application to data classification problems, Phys. Rev. A, 109, 052423 (2024) 13 May 2024 [arXivLink][Link]
  • S. Daimon, K. Tsunekawa, R. Takeuchi, T. Sagawa, N. Yamamoto, and E. Saitoh, Quantum circuit distillation and compression, Jpn. J. Appl. Phys. 63 032003 (2024), March 7 2024 [arXivLink][Link]
  • H. Tezuka, S. Uno, and N. Yamamoto, Generative model for learning quantum ensemble via optimal transport loss, Quantum Machine Intelligence, 6, 6 (2024), January 31, 2024[arXivLink][Link]
  • K. Toyoizumi, N. Yamamoto, and K. Hoshino, Hamiltonian simulation using quantum singular value transformation: complexity analysis and application to the linearized Vlasov-Poisson, Phys. Rev. A, 109, 012430 (2024), January 25, 2024[arXivLink][Link]

2023

  • H. Tezuka, S. Uno, and N. Yamamoto, Generative model for learning quantum ensemble via optimal transport loss, Quantum Machine Intelligence, 6, 6 (2024), January 31, 2024[arXivLink][Link]
  • K. Toyoizumi, N. Yamamoto, and K. Hoshino, Hamiltonian simulation using quantum singular value transformation: complexity analysis and application to the linearized Vlasov-Poisson, Phys. Rev. A, 109, 012430 (2024), January 25, 2024[arXivLink][Link]
  • K. Nakaji, H. Tezuka, and N. Yamamoto, Quantum-classical hybrid neural networks in the neural tangent kernel regime, Quantum Science and Technology, 9, 1, December 18, 2023[arXivLink][Link]
  • K. Endo, Y. Sato, R. Raymond, K. Wada, N. Yamamoto, and H. C. Watanabe, Optimal parameter configurations for sequential optimization of variational quantum eigensolver, Phys. Rev. Research 5, 043136, November 9, 2023[arXivLink][Link]
  • N. Baskaran, A. S. Rawat, A. Jayashankar, D. Chakravarti, K. Sugisaki, S. Roy, S. B. Mandal, D. Mukherjee, V. S. Prasannaa, Apapting the Harrow-Hassidim-Lloyd algorithm to quantum many-body theory, Phys. Rev. Res. 5, 043113, November 3, 2023[arXivLink][Link]
  • K.Sugisaki, Projective measurement-based quantum phase difference estimation for the direct computation of eigenenergy differences on a quantum computer, J. Chem. Theory Comput. 19, 7617-7625, October 24, 2023[arXivLink][Link]
  • H. Yano and N. Yamamoto, Quantum information criteria for model selection in quantum state estimation, J. Physics A: Math and Theoretical, 56, 405301, 15 September 2023[arXivLink][Link]
  • K. Sugisaki, V. S. Prasannaa, S. Ohshima, T. Katagiri, Y. Mochizuki, B. K. Sahoo, B. P. Das, Bayesian phase difference estimation algorithm for direct calculation of fine structure splitting: accelerated simulation of relativistic and quantum many-body effects, 8 September 2023[arXivLink][Link]
  • Y. Sato, H. C. Watanabe, R. Raymond, R. Kondo, K. Wada, K. Endo, M. Sugawara, N. Yamamoto, Variational quantum algorithm for generalized eigenvalue problems and its application to the finite-element method, Phys. Rev. A108, 022429, 28 August 2023[arXivLink][Link]
  • R. Nagai, S. Kanno, Y. Sato, N. Yamamoto, Quantum channel decomposition with preselection and postselection, Phys. Rev. A108, 022615, 28 August 2023[arXivLink][Link]
  • Q. Gao, G. O. Jones , T. Kobayashi, M. Sugawara, H. Yamashita, H. Kawaguchi, S. Tanaka, and N. Yamamoto, Quantum-Classical Computational Molecular Design of Deuterated High-Efficiency OLED Emitters, Intelligent Computing SPJ, Vol 2, Article ID: 0037, 17 May 2023[arXivLink][Link]
  • T. Kubota, Y. Suzuki, S. Kobayashi, Q. H. Tran, N. Yamamoto, K. Nakajima, Temporal information processing induced by quantum noise, Phys Rev Research 5, 023057, 25 April 2023[Link]
  • A. Sone, N. Yamamoto, T. Holdsworth, and P. Narang, Integrated fluctuation theorems for generic quantum state and quantum channel, Phys Rev Research 5, 023039, 19 April 2023[Link]
  • H.Kawaguchi, Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery, in PLoS ONE 18(4): e0283933, 5 April 2023[arXivLink]<[Link]
  • S. Gocho, H. Nakamura, S. Kanno, Q. Gao, T. Kobayashi, T. Inagaki, M. Hatanaka, Excited state calculations using variational quantum eigensolver with spin-restricted ansätze and automatically-adjusted constraints, npj Computational Materials, 21 January 2023[arXivLink][Link]

2022

  • T. Koike, Quantum brachistochrone, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 26 December 2022[Link]
  • M. Kobayashi, K. Nakaji, and N. Yamamoto, Overfitting in quantum machine learning and entangling dropout, Quantum Machine Intelligence 4, 30, 29 November 29 2022[arXivLink][Link]
  • S. Ashhab, N. Yamamoto, F. Yoshihara, and K. Semba, Numerical analysis of quantum circuits for state preparation and unitary operator synthesis, Phys. Rev. A 106, 022426, 23 August 2022[arXivLink][Link]
  • B. Yang, R. Raymond, and S. Uno, Efficient quantum readout-error mitigation for sparse measurement outcomes of near-term quantum devices, Physical Review A 106, 012423, 18 July 2022[arXivLink][Link]
  • K. Wada, R. Raymond, Y Ohnishi, E. Kaminishi, N. Yamamoto, H. C. Watanabe, Simulating time evolution with fully optimized single-qubit gates on parameterized quantum circuits, Physical Review A, 105, 062421, 13 June 2022[arXivLink][Link]
  • K. Nakaji, S. Uno, Y. Suzuki, R. Raymond, T. Onodera, T. Tanaka, H. Tezuka, N. Mitsuda, and N. Yamamoto, Approximate amplitude encoding in shallow parameterized quantum circuits and its application to financial market indicator, Phys. Rev. Research, 4, 023136 (2022), 20 May 2022[arXivLink][Link]
  • S. Ashhab, F. Yoshihara, T. Fuse, N. Yamamoto, A. Lupascu, and K. Semba, Speed limits for quantum gates with weakly anharmonic qubits, Phys. Rev. A, 105, 042614 (2022), 25 April 2022[arXivLink][Link]
  • K. Kobayashi, Reachable Set Characterization of Open Quantum System by Quantum Speed Limit, Phys. Rev. A 105, 042608 (2022), 18 April, 2022 [arXivLink][Link]
  • H. Tezuka, K. Nakaji, T. Satoh, and N. Yamamoto, Grover search revisited; application to image pattern matching,Phys. Rev. A, 105, 032440 (2022), 24 March 2022[arXivLink][Link]
  • Yudai Suzuki, Qi Gao, Ken Pradel, Kenji Yasuoka, Naoki Yamamoto, Natural quantum reservoir computing for temporal information processing, Sci Rep 12, 1353 (2022), 25 January 2022[arXivLink][Link]
  • T. Tanaka, S. Uno, T. Onodera, N. Yamamoto, and Y. Suzuki, Noisy quantum amplitude estimation without noise estimation, Physical Review A 105.012411 (2022), 6 January 2022[arXivLink][Link]

2021

  • K. Nakaji and N. Yamamoto, Quantum semi-supervised generative adversarial network for enhanced data classification, Scientific Reports 11, 19649 (2021), 4 October 2021[arXivLink][Link]
  • T. Tanaka, Y. Suzuki, S. Uno, R. Raymond, T. Onodera, and N. Yamamoto, Amplitude estimation via maximum likelihood on noisy quantum computer,Quantum Inf Process 20, 293 (2021), 4 September 2021[arXivLink][Link]
  • S. Uno, Y. Suzuki, K. Hisanaga, R. Raymond, T. Tanaka, T. Onodera, and N. Yamamoto, Modified Grover operator for amplitude estimation,New Journal of Physics 23, 083031 (2021), 19 August 2021[arXivLink][Link]
  • T. Satoh, S. Nagayama, S. Suzuki, T. Matsuo, M. Hajdušek, R. Van Meter,Attacking the quantum Internet,IEEE Transactions on Quantum Engineering 2, 1-17, 7 July 2021[arXivLink][Link]
  • Q. Gao, G. O. Jones, M. Motta, M. Sugawara, H. C. Watanabe, T. Kobayashi, E. Watanabe, Y. Ohnishi, H. Nakamura, N. Yamamoto, Applications of Quantum Computing for Investigations of Electronic Transitions in Phenylsulfonyl-carbazole TADF Emitters, npj Computational Matrial, 20 May 2021[Link]
  • H.C. Watanabe, R. Raymond, Y. Ohnishi, E. Kaminishi, M. Sugawara, Optimizing Parameterized Quantum Circuits with Free-Axis Selection, arXiv:2104.14875, 30 April 2021[arXivLink]
  • Y. Shikano, H. C. Watanabe, K. M Nakanishi, Y. Ohnishi, Post-Hartree-Fock method in Quantum Chemistry for Quantum Computer, The European Physical Journal, 26 April 2021[arXivLink][Link]
  • K. Nakaji and N. Yamamoto, Expressibility of the alternating layered ansatz for quantum computation, Quantum 5, 434 (2021), 19 April 2021[arXivLink][Link]
  • K. Kishi, T. Satoh, R. Raymond, N. Yamamoto, and Y. Sakakibara, Graph kernels encoding features of all subgraphs by quantum superposition, Arxiv:2103.16093,44285[arXivLink][Link]
  • K. Nakaji, S. Uno, Y. Suzuki, R. Raymond, T. Onodera, T. Tanaka, H. Tezuka, N. Mitsuda, and N. Yamamoto, Approximate amplitude encoding in shallow parameterized quantum circuits and its application to financial market indicator, Arxiv:2103.13211,44280[arXivLink][Link]
  • Q. Gao, H. Nakamura, T. P. Gujarati, G. O. Jones, J. E. Rice, S. P. Wood, M. Pistoia, J. M. Garcia, and N. Yamamoto, Computational investigations of the Lithium Superoxide Dimer rearrangement on noisy quantum devices, J. of Physical Chemistry A, 125-9, 1827/1836 (2021)[arXivLink][Link]

2020

  • K. Endo, T. Nakamura, K. Fujii, and N. Yamamoto, Quantum self-learning Monte Carlo and quantum-inspired Fourier transform sampler, Phys. Rev. Research 2, 043442 (2020)[arXivLink][Link]
  • Y. Suzuki, H. Yano, Q. Gao, S. Uno, T. Tanaka, M. Akiyama, and N. Yamamoto, Analysis and synthesis of feature map for kernel-based quantum classifier, Quantum Machine Intelligence, 2, 1-9 (2020)[arXivLink][Link]
  • J. Chen, H. I. Nurdin, and N. Yamamoto, Temporal information processing on noisy quantum computers, Phys. Rev. Applied 14, 024065 (2020)[arXivLink][Link]
  • S. Nishio , Y. Pan, T. Satoh, H. Amano, R. Van Meter, Extracting Success from IBM’s 20-Qubit Machines Using Error-Aware Compilation, ACM Journal on Emerging Technologies in Computing Systems Vol. 16, No. 32,[arXivLink][Link]
  • P. Pathumsoot, T. Matsuo, T. Satoh, M. Hajdušek, S. Suwanna, and R. Van Meter, Modeling of measurement-based quantum network coding on a superconducting quantum processor, Phys. Rev. A 101, 052301,[arXivLink][Link]
  • H. Wakamura and T. Koike, A general formulation of time-optimal quantum control and optimality of singular protocols, New Journal of Physics 22, 073010,[arXivLink][Link]
  • Y. Shikano, K. Tamura, and R. Raymond, Detecting Temporal Correlation via Quantum Random Number Generation, accepted in Proceedings 9th International Conference on Quantum Simulation and Quantum Walks (QSQW 2020), edited by Giuseppe Di Molfetta, Vivien Kendon and Yutaka Shikano, Electronic Proceedings in Theoretical Computer Science, pp. 17-25.[arXivLink]
  • K. Tamura and Y. Shikano, Quantum Random Numbers generated by the Cloud Superconducting Quantum Computer, accepted for International Symposium on Mathematics, Quantum Theory, and Cryptography: Proceedings of MQC 2019 edited by Tsuyoshi Takagi, Masato Wakayama, Keisuke Tanaka, Noboru Kunihiro, Kazufumi Kimoto, and Yasuhiko Ikematsu (Springer Nature, Singapore, 2020),[arXivLink]
  • Y. Suzuki, S. Uno, R. Raymond, T. Tanaka, T. Onodera, and N. Yamamoto, Amplitude Estimation without Phase Estimation, Quantum Information Processing 19, 75 (2020) [arXivLink][link]

 International Conference

2024

  • Y. Sano, K. Mitarai, N. Yamamoto, and N. Ishikawa, Accelerating Grover adaptive search: qubit and gate count reduction strategies with higher-order formulations, IEEE Trans. Quantum Engineering, 5, 3101712 (2024) 25 April 2024 [arXivLink][Link]

2023

  • H. C. Watanabe, R. Raymond, Y. -Y. Ohnishi, E. Kaminishi and M. Sugawara, Optimizing Parameterized Quantum Circuits With Free-Axis Single-Qubit Gates, IEEE Trans. Quantum Engineering, 4, 3101016 (2023), 15 June 2023[Link]
  • K. Miyamoto, N. Yamamoto, and Y. Sakakibara, Quantum algorithm for position weight matrix matching, IEEE Trans. Quantum Engineering, 4, 3101214 (2023), 10 June 2023[arXivLink]

2022

  • R. Satoh, M. Hajdušek, N. Benchasattabuse, S. Nagayama, K. Teramoto, T. Matsuo, S. Ayman Metwalli, T. Satoh, S. Suzuki, R. Van Meter,QuISP: a Quantum Internet Simulation Package, IEEE International Conference on Quantum Computing and Engineering, pp 353-364 (2022), 22 November 2022 [arXivLink][Link]
  • R. Van Meter, R. Satoh, N. Benchasattabuse, T. Matsuo, M. Hajdušek, T. Satoh, S. Nagayama, S. Suzuki, A Quantum Internet Architecture, IEEE International Conference on Quantum Computing and Engineering, pp. 341-352 (2022), 22 November 2022 [arXivLink][Link]
  • K. Kishi, T. Satoh, R. Raymond, N. Yamamoto, Y. Sakakibara, Graph kernels encoding features of all subgraphs by quantum superposition, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2022, 30 August 2022[Link]
  • Y. Aono, S. Liu, T. Tanaka, S. Uno, R. Van Meter, N. Shinohara, R. Nojima,The Present and Future of Discrete Logarithm Problems on Noisy Quantum Computers, IEEE Transactions on Quantum Engineering, vol. 3, pp. 1-21, Art no. 3102021(2022), 16 June 2022
  • T. Satoh, S. Ohmura, M. Sugawara, and N. Yamamoto, Pulse-engineered Control-V gate and its applications on superconducting quantum device, IEEE Trans. Quantum Engineering, 3, 3101610 (2022), 25 April 2022
  • Y. Ohkura, T. Satoh and R. Van Meter, Simultaneous Execution of Quantum Circuits on Current and Near-Future NISQ Systems, in IEEE Transactions on Quantum Engineering, vol. 3, pp. 1-10 (2022), 5 April 2022

2021

  • K. Oonishi, T. Tanaka, S. Uno, T. Satoh, R. Van Meter, N. Kunihiro, Efficient Construction of a Control Modular Adder on a Carry-Lookahead Adder Using Relative-phase Toffoli Gates, IEEE Transactions on Quantum Engineering, vol. 3, pp. 1-18, 2022, 17 December 2021
  • N. Thumwanit, C. Lortaraprasert, R. Raymond, Trainable Discrete Feature Embeddings for Quantum Machine Learning, 2021 58th ACM/IEEE Design Automation Conference (DAC), 15 December 2021
  • P. Pathumsoot, N. Benchasattabuse, R. Satoh, M. Hajdušek, R. Van Meter, S. Suwanna,Optimizing Link-Level Entanglement Generation in Quantum Networks with Unequal Link Lengths,2021 25th International Computer Science and Engineering Conference (ICSEC), 18 November 2021
  • H. Yano, Y. Suzuki, K. M. Itoh, R. Raymond, and N. Yamamoto, Efficient discrete feature encoding for variational quantum classifier, IEEE Trans. Quantum Engineering, 2, 1/14 (2021), 10 August 2021

2020

  • S. Metwalli, Francois Le Gall, Rodney Van Meter, Finding Small and Large k-Clique Instances on a Quantum Computer, IEEE Trans. on Quantum Engineering 1 (2020) 1-11, 18 December 2020 [arXivLink][Link]
  • Y. Shikano, Unpredictable random number generator, AIP Conference Proceedings 2286, 040004 (2020)[link]
  • T. Satoh, Y. Ohkura, R. Van Meter, Subdivided Phase Oracle for NISQ Search Algorithms, IEEE Transactions on Quantum Engineering
  • Y. Shikano, K. Tamura, and R. Raymond, Detecting Temporal Correlation via Quantum Random Number Generation, Proceedings 9th International Conference on Quantum Simulation and Quantum Walks (QSQW 2020),[link]

2019

  • T. Itoko, R. Raymond, T. Imamichi, A. Matsuo, and A. W. Cross, Quantum circuit compilers using gate commutation rules, ASPDAC’s 19 Proceedings of the 24th Asia and South Pacific Design Automation Conference (ACM, New York, 2019) 191-196,[link]

 Domestic Conference

2021

  • 山本直樹, レイモンド ルディー, Data Loading, Circuit Optimization and Measurement in Quantum Machine Learning, 電子情報通信学会誌, 104, 11, 1189/1195 (2021), 1 November 2021

2019

  • K. Tamura and Y. Shikano, Quantum Random Number Generation with the Superconducting Quantum Computer IBM 20Q Tokyo, in Proceedings of Workshop on Quantum Computing and Quantum Information, edited by Mika Hirvensalo and Abuzer Yakaryilmaz, TUCS Lecture Notes 30, 13 – 25 (2019),[link]