Prospective Students 

Integrated circuits (ICs) consist of numerous basic cells for computation. They are the core components of computers, which serve as the brains of the information society. 

To support response to the explosively increasing demands for performance of computational tasks in applications such as artificial intelligence (AI), our laboratory is developing a method for observing the propagation of error inside existing systems for performing complex computation tasks. Based on our observations, we will establish a propagation model and estimate its error rate during the development of new IC designs or next generation ICs. Finally, we will develop a noise-hardening IC design for use in reliability-critical applications. (Refer to [1-4])

Moreover, for students with a strong interest in quantum computation for the post-CMOS IC era, we will provide further topics related to error correction against environmental noise, toward the realization of practical large-scale quantum computers. (Refer to [5]) 

1. Design and conduct simulations/experiments related to error injection for reliability analysis;

2. Develop an error propagation model and estimate the pre-fabrication error rate of pre-fabrication ICs; and

3. Design and verify high-reliability ICs, and optimize design for computation efficiency.

1. Work independently in accordance with the agreed research procedures;

2. Maintain good communication with team members; and

3. Have strong skills in English writing and presentation for academic purposes.

1.  Self-motivation and strong interest in circuits;

2. Fluent English (necessary) and Japanese (preferred, related to collaboration in experiments);

3. Functional level of skill in use of software (C/C++, python etc.) and hardware (e.g., Verilog, VHDL) programming; and

4. Functional knowledge of VLSI.