New development in particle physics using quantum computers

  • 1.3 Quantum AI
  • 1.5 Quantum interdisciplinary sciences(Life science, Mathematics, Particle physics, Space science, Astronomy, Quantum gravity, etc.)
  • 1.10 Educating the quantum generations
Shoji Asai
Graduate School of Science
In this project, we are developing methods to utilize quantum computers for particle physics research. We are developing simulations of high-energy particle processes. We are also aiming to use quantum artificial intelligence in data analyses for particle-physics research.The developments may lead to a breakthrough in particle physics and quantum computation. We train next-generation scientists who can make full use of quantum computers.
Project overview
Image of the simulation of elementary particle processes

Related links

Research collaborators

International Center for Elementary Particle Physics

Related publications

  • Koji Terashi, Michiru Kaneda, Tomoe Kishimoto, Masahiko Saito, Ryu Sawada, Junichi Tanaka, Event Classification with Quantum Machine Learning in High-Energy Physics, arXiv:2002.09935 [physics.comp-ph] (2020).
  • Wen Guan, Gabriel Perdue, Arthur Pesah, Maria Schuld, Koji Terashi, Sofia Vallecorsa, Jean-Roch Vlimant, Quantum Machine Learning in High Energy Physics, arXiv:2005.08582 [quant-ph] (2020).
  • Yutaro Iiyama, Quantum state preparation with multiplicative amplitude transduction, arXiv:2006.00975 [quant-ph] (2020).


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