Koji Inoue

Kyushu University, Japan

How Can SFQ Technology Contribute to Quantum Computing?

Abstract

Superconductor single-flux-quantum (SFQ) logic that operates in a 4.2-kelvin environment is a promising candidate to achieve ultra-high-speed low-power operations. Josephson junctions (JJs) are used as switching elements in SFQ logic to compose a superconductor ring (SFQ ring) that can store (or trap) and transfer a single magnetic flux quantum. It fundamentally operates with a voltage pulse-driven nature, making possible extremely low-latency and low-energy JJ switching. The next step of SFQ technologies is to explore its applications. This talk shares the potential of SFQ logic and discusses its role in superconducting quantum computers.

Biography

Koji Inoue received the B.E. and M.E. degrees in computer science from Kyushu Institute of Technology, Japan in 1994 and 1996, respectively. He received a Ph.D. degree in the Department of Computer Science and Communication Engineering, Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan in 2001. In 1999, he joined Halo LSI Design& Technology, Inc., NY, as a circuit designer. He is currently a professor of the Department of Advanced Information Technology, Kyushu University. His research interests include power-aware computing, high-performance computing, secure computer systems, 3D microprocessor architectures, multi/many-core architectures, nano-photonic computing, superconducting computing, and quantum computing. Koji Inoue received the B.E. and M.E. degrees in computer science from Kyushu Institute of Technology, Japan in 1994 and 1996, respectively. He received a Ph.D. degree in the Department of Computer Science and Communication Engineering, Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan in 2001. In 1999, he joined Halo LSI Design& Technology, Inc., NY, as a circuit designer. He is currently a professor of the Department of Advanced Information Technology, Kyushu University. His research interests include power-aware computing, high-performance computing, secure computer systems, 3D microprocessor architectures, multi/many-core architectures, nano-photonic computing, superconducting computing, and quantum computing.

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