Professor Eiji Saito and his colleagues, in collaboration with Professor Tomi Ohtsuki of Sophia University, have developed an AI that understands quantum phenomena and succeeded in deciphering the “quantum fingerprint” that reflects the nanostructure of a sample from information on its electrical resistance. They developed an AI that can decipher quantum mechanical interference, and recovered the microstructure inside metals, which is quantum mechanical interference information, from the information of electrical resistance alone. This enables the application of AI to nanostructure microscopy, which is expected to be a powerful tool for the development of next-generation electronic devices. The paper was published in Nature Communications on June 8.
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[Saito Labo.]