Endowed Project in Quantum Software

  • 1.1 Quantum algorithm/Quantum compiler
  • 1.2 Quantum chemistry
  • 1.3 Quantum AI
  • 1.4 Quantum financial engineering/technologies
  • 1.5 Quantum interdisciplinary sciences(Life science, Mathematics, Particle physics, Space science, Astronomy, Quantum gravity, etc.)
  • 1.6 Quantum information/Quantum cryptography
  • 1.10 Educating the quantum generations
  • 2.3 Quantum materials(Topological materials/Thermoelectric devices/Functional materials)
Synge Todo
Graduate School of Science
Professor
Our aim is to develop new quantum machine learning methods and quantum applications using quantum computers as well as more advanced algorithms and their applications by combining information compression by tensor networks and information extraction based on sampling. In addition, by evaluating quantum computer algorithms using massively parallel simulations, understanding the physics behind the algorithms and acquiring cutting-edge knowledge, we aim to solve problems in social implementation and develop quantum-native professionals.
Representation of wave functions of quantum many-body systems by tensor networks.
Human resource development by the Endowed Project in Quantum Software.

Related links

Research collaborators

Tsuyoshi Okubo Project Associate Professor Institute for Physics of Intelligence, the University of Tokyo
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