Symbiosis of Semiconductors, AI and Quantum Computing

During last decade, various deep learning algorithms successfully broke the thick ice of AI winter so that they became an important part both in industries and daily lives [1]. They also invoked the development of AI accelerators (NPUs: neural processing units) that became a standard computing unit. This paper gives perspectives on various types of AI computing and device technology developments supporting them. An overview is given regarding how AI has widened its scope in material and semiconductor developments, and some important considerations are pointed out. Finally, the status of applying NISQ (noisy intermediate scale quantum) to material calculations is briefly discussed.