publications

2025

1. arXiv

   Tensor Network Formulation of Dequantized Algorithms for Ground State Energy Estimation

   Hidetaka Manabe, Takanori Sugimoto, and Keisuke Fujii

   2025

   arXiv Bib

   @article{manabe2025dequantized,
     title = {Tensor Network Formulation of Dequantized Algorithms for Ground State Energy Estimation},
     author = {Manabe, Hidetaka and Sugimoto, Takanori and Fujii, Keisuke},
     year = {2025},
   }

2. arXiv

   Learning functions of Hamiltonians with Hamiltonian Fourier features

   Yuto Morohoshi, Akimoto Nakayama, Hidetaka Manabe, and Kosuke Mitarai

   2025

   arXiv Bib

   @article{morohoshi2025hamiltonian,
     title = {Learning functions of Hamiltonians with Hamiltonian Fourier features},
     author = {Morohoshi, Yuto and Nakayama, Akimoto and Manabe, Hidetaka and Mitarai, Kosuke},
     year = {2025},
   }

3. Comput. Phys. Commun.

   TTNOpt: Tree tensor network package for high-rank tensor compression

   Ryo Watanabe, Hidetaka Manabe, Toshiya Hikihara, and Hiroshi Ueda

   Computer Physics Communications, 2025

   DOI arXiv Bib

   @article{watanabe2025ttnopt,
     title = {TTNOpt: Tree tensor network package for high-rank tensor compression},
     author = {Watanabe, Ryo and Manabe, Hidetaka and Hikihara, Toshiya and Ueda, Hiroshi},
     journal = {Computer Physics Communications},
     year = {2025},
     doi = {10.1016/j.cpc.2025.109918},
   }

4. Quantum

   The State Preparation of Multivariate Normal Distributions using Tree Tensor Network

   Hidetaka Manabe and Yuichi Sano

   Quantum, 2025

   DOI Bib

   @article{manabe2025stateprep,
     title = {The State Preparation of Multivariate Normal Distributions using Tree Tensor Network},
     author = {Manabe, Hidetaka and Sano, Yuichi},
     journal = {Quantum},
     volume = {9},
     pages = {1755},
     year = {2025},
     doi = {10.22331/q-2025-05-28-1755},
   }

5. New J. Phys.

   Efficient Simulation of Leakage Errors in Quantum Error Correcting Codes Using Tensor Network Methods

   Hidetaka Manabe, Yasunari Suzuki, and Andrew S. Darmawan

   New Journal of Physics, 2025

   DOI arXiv Bib

   @article{manabe2025leakage,
     title = {Efficient Simulation of Leakage Errors in Quantum Error Correcting Codes Using Tensor Network Methods},
     author = {Manabe, Hidetaka and Suzuki, Yasunari and Darmawan, Andrew S.},
     journal = {New Journal of Physics},
     year = {2025},
     doi = {10.1088/1367-2630/ae1529},
   }

2024

1. arXiv

   Tensor-network decoders for process tensor descriptions of non-Markovian noise

   Fumiyoshi Kobayashi, Hidetaka Manabe, Gregory A. L. White, Terry Farrelly, Kavan Modi, and Thomas M. Stace

   2024

   arXiv Bib

   @article{kobayashi2024decoders,
     title = {Tensor-network decoders for process tensor descriptions of non-Markovian noise},
     author = {Kobayashi, Fumiyoshi and Manabe, Hidetaka and White, Gregory A. L. and Farrelly, Terry and Modi, Kavan and Stace, Thomas M.},
     year = {2024},
   }

2023

1. ISC HPC

   Quantum Circuit Simulation by SGEMM Emulation on Tensor Cores and Automatic Precision Selection

   Hiroyuki Ootomo, Hidetaka Manabe, Kenji Harada, and Rio Yokota

   In ISC High Performance 2023, Lecture Notes in Computer Science, 2023

   DOI arXiv Bib

   @inproceedings{ootomo2023sgemm,
     title = {Quantum Circuit Simulation by SGEMM Emulation on Tensor Cores and Automatic Precision Selection},
     author = {Ootomo, Hiroyuki and Manabe, Hidetaka and Harada, Kenji and Yokota, Rio},
     booktitle = {ISC High Performance 2023, Lecture Notes in Computer Science},
     year = {2023},
     doi = {10.1007/978-3-031-32041-5_14},
   }

2022

1. Phys. Rev. D

   Entanglement distillation toward minimal bond cut surface in tensor networks

   Takato Mori, Hidetaka Manabe, and Hiroaki Matsueda

   Physical Review D, 2022

   DOI arXiv Bib

   @article{mori2022entanglement,
     title = {Entanglement distillation toward minimal bond cut surface in tensor networks},
     author = {Mori, Takato and Manabe, Hidetaka and Matsueda, Hiroaki},
     journal = {Physical Review D},
     volume = {106},
     number = {8},
     pages = {086008},
     year = {2022},
     publisher = {American Physical Society},
     doi = {10.1103/PhysRevD.106.086008},
   }

2019

1. arXiv

   Implicit Regularization in Over-parameterized Neural Networks

   Masayoshi Kubo, Ryotaro Banno, Hidetaka Manabe, and Masataka Minoji

   2019

   arXiv Bib

   @article{kubo2019implicit,
     title = {Implicit Regularization in Over-parameterized Neural Networks},
     author = {Kubo, Masayoshi and Banno, Ryotaro and Manabe, Hidetaka and Minoji, Masataka},
     year = {2019},
   }