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]

 Journal

2022

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

2021

  • K. Nakaji and N. Yamamoto, Quantum semi-supervised generative adversarial network for enhanced data classification, Scientific Reports 11, 19649 (2021), 4 October 2021
  • 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
  • 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
  • Takahiko Satoh, Shota Nagayama, Shigeya Suzuki, Takaaki Matsuo, Michal Hajdušek, Rodney Van Meter,Attacking the quantum Internet,IEEE Transactions on Quantum Engineering 2, 1-17, 7 July 2021
  • Qi Gao, Gavin O. Jones, Mario Motta, Michihiko Sugawara, Hiroshi C. Watanabe, Takao Kobayashi, Eriko Watanabe, Yu-ya Ohnishi, Hajime Nakamura, Naoki Yamamoto, Applications of Quantum Computing for Investigations of Electronic Transitions in Phenylsulfonyl-carbazole TADF Emitters, npj Computational Matrial, 20 May 2021
  • HC Watanabe, R Raymond, Y Ohnishi, E Kaminishi, M Sugawara, Optimizing Parameterized Quantum Circuits with Free-Axis Selection, arXiv:2104.14875, 30 April 2021
  • Yutaka Shikano, Hiroshi C Watanabe, Ken M Nakanishi, Yu-ya Ohnishi, Post-Hartree-Fock method in Quantum Chemistry for Quantum Computer, The European Physical Journal, 26 April 2021
  • K. Nakaji and N. Yamamoto, Expressibility of the alternating layered ansatz for quantum computation, Quantum 5, 434 (2021), 19 April 2021
  • 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
  • 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
  • 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)

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)
  • 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)
  • J. Chen, H. I. Nurdin, and N. Yamamoto, Temporal information processing on noisy quantum computers, Phys. Rev. Applied 14, 024065 (2020)
  • Shin Nishio , Yulu Pan, Takahiko Satoh, Hideharu Amano, Rodney 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,[link]
  • Poramet Pathumsoot, Takaaki Matsuo, Takahiko Satoh, Michal Hajdušek, Sujin Suwanna, and Rodney Van Meter, Modeling of measurement-based quantum network coding on a superconducting quantum processor, Phys. Rev. A 101, 052301,
  • Hiroaki Wakamura and Tatsuhiko Koike, A general formulation of time-optimal quantum control and optimality of singular protocols, New Journal of Physics 22, 073010,https://iopscience.iop.org/article/10.1088/1367-2630/ab8ab3[link]
  • Yutaka Shikano, Kentro Tamura, and Rudy 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.
  • Kentaro Tamura and Yutaka 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),[link]
  • Yohichi Suzuki, Shumpei Uno, Rudy Raymond, Tomoki Tanaka, Tamiya Onodera, and Naoki Yamamoto, Amplitude Estimation without Phase Estimation, Quantum Information Processing 19, 75 (2020),[link]

 International Conference

2022

  • Y. Ohkura, T. Satoh and R. Van Meter, Simultaneous execution of quantum circuits on current and near-future NISQ systems, IEEE Transactions on Quantum Engineering, 5 April 2022

2021

  • Kento Oonishi, Tomoki Tanaka, Shumpei Uno, Takahiko Satoh, Rodney Van Meter, Noboru 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
  • Napat Thumwanit, Chayaphol Lortaraprasert, Rudy Raymond, Trainable Discrete Feature Embeddings for Quantum Machine Learning, 2021 58th ACM/IEEE Design Automation Conference (DAC), 15 December 2021
  • Poramet Pathumsoot, Naphan Benchasattabuse, Ryosuke Satoh, Michal Hajdušek, Rodney Van Meter, Sujin 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

  • Yutaka Shikano, Unpredictable random number generator, AIP Conference Proceedings 2286, 040004 (2020)[link]
  • Takahiko Satoh, Yasuhiro Ohkura, Rodney Van Meter, Subdivided Phase Oracle for NISQ Search Algorithms, IEEE Transactions on Quantum Engineering
  • Yutaka Shikano, Kentaro Tamura, and Rudy Raymond, Detecting Temporal Correlation via Quantum Random Number Generation, Proceedings 9th International Conference on Quantum Simulation and Quantum Walks (QSQW 2020),[link]

2019

  • Toshinari Itoko, Rudy Raymond, Takashi Imamichi, Atsushi Matsuo, and Andrew 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

  • Kentaro Tamura and Yutaka 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]

 Preprint

  • M. Kobayashi, K. Nakaji, and N. Yamamoto, Overfitting in quantum machine learning and entangling dropout[link]
  • S. Ashhab, N. Yamamoto, F. Yoshihara, and K. Semba, Numerical analysis of quantum circuits for state preparation and unitary operator synthesis[link]
  • Bo Yang, Rudy Raymond, Shumpei Uno, An Efficient Quantum Readout Error Mitigation for Sparse Measurement Outcomes of Near-term Quantum Devices[link]
  • Ken M Nakanishi, Takahiko Satoh, Synge Todo,Quantum-gate decomposer[link]
  • Ryosuke Satoh, Michal Hajdušek, Naphan Benchasattabuse, Shota Nagayama, Kentaro Teramoto, Takaaki Matsuo, Sara Ayman Metwalli, Takahiko Satoh, Shigeya Suzuki, Rodney Van Meter,QuISP: a Quantum Internet Simulation Package[link]
  • Rodney Van Meter, Ryosuke Satoh, Naphan Benchasattabuse, Takaaki Matsuo, Michal Hajdušek, Takahiko Satoh, Shota Nagayama, Shigeya Suzuki, A Quantum Internet Architecture[link]
  • Yasuhiro Ohkura, Takahiko Satoh, Rodney Van Meter,Simultaneous quantum circuits execution on current and near-future NISQ systems[link]
  • Napat Thumwanit, Chayaphol Lortararprasert, Hiroshi Yano, Rudy Raymond,Trainable Discrete Feature Embeddings for Variational Quantum Classifier[link]
  • Yoshinori Aono, Sitong Liu, Tomoki Tanaka, Shumpei Uno, Rodney Van Meter, Naoyuki Shinohara, Ryo Nojima,The Present and Future of Discrete Logarithm Problems on Noisy Quantum Computers[link]
  • K. Kobayashi, Reachable Set Characterization of Open Quantum System by Quantum Speed Limit[link]
  • Hideaki Kawaguchi, Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery[link]
  • Shigeki Gocho, Qi Gao, Takao Kobayashi, Taichi Inagaki, Miho 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[link]
  • Q. Gao, G. O. Jones, M. Sugawara, T. Kobayashi, H. Yamashita, H. Kawaguchi, S. Tanaka, and N. Yamamoto,Quantum-classical computational molecular design of deuterated high-efficiency OLED emitters[link]
  • K. Nakaji, H. Tezuka, and N. Yamamoto, Quantum-enhanced neural networks in the neural tangent kernel framework,[link]
  • Y. Suzuki, H. Yano, R. Raymond, and N. Yamamoto,Normalized gradient descent for variational quantum algorithms,[link]
  • Sara Metwalli, Francois Le Gall, Rodney Van Meter, Finding Small and Large k-Clique Instances on a Quantum Computer [link]