Quantum Intelligent Devices

We  investigate  nature-  and  bio-inspired technologies for novel function material and devices, including high-efficient solar cells, stochastic resonance devices, and amoeba- inspired artificial intelligence. We are aiming nature and environment friendly semi-conductor technologies for SDGs.

  1. Bio-inspired electron devices exploiting fluctuation and their applications
  2. Amoeba-inspired non-von Neumann computer
  3. “Photo-”, “electro-”, “chemical-” energy conversion and application to nitride semiconductor processing
Electronic amoeba and its application
to autonomous walking robot
Damage-free etching by photoelectro- chemical process and formation of
high-density nanostructure

Research Keywords

  • Nature- & bio-inspired devices
  • Artificial Intelligence
  • Photo-electro-chemical
  • energy conversion

Faculty & Research Staff

Seiya Kasai

Seiya Kasai

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Professor

Research Keywords

  • Semiconductor electron devices
  • Noise,fluctuation
  • Amoeba-inspired electronic computer
  • Stochastic resonance
Taketomo Sato

Taketomo Sato

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Associate Professor

Research Keywords

  • III-V,nitride semiconductors
  • High electron mobility transistors
  • Low-damage processing
  • Electrochemical etching of semiconductors
  • Electrochemical characterization for semiconductors
Zenji Yatabe

Zenji Yatabe

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Associate Professor

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