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quantum information, develop techniques for quantum control and measurement, build quantum computing hardware and software, and explore novel applications. Our main interest is to propose quantum algorithms
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of concepts from quantum information to quantum materials; algorithmic aspects of quantum computing; topological aspects of magnetism; connections between condensed matter and high-energy physics
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, architectures, and algorithms. Specifically, we investigate energy-efficient computer architecture for machine learning based on novel devices and computing principles, device-aware machine learning algorithms
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the work-life balance of faculty and staff, we are proactively working on gender equality by operating on-campus childcare facilities, distributing discount coupons for the baby-sitting service, and
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and technological development related to observations of the effects of circulation and microbial distribution on the distribution of substances in the ocean, maintaining automated oceanographic
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technologies—especially Distributed Acoustic Sensing (DAS), which has seen rapid progress in recent years—to submarine cable networks. These technologies enable dense, wide-area observations of offshore
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labs, and the RI production and distribution, using the heavy-ion accelerators and unsealed RI handling facilities at the RIKEN RI Beam Factory. The candidate is also expected to be in charge of RI
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singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas of interest include Potential Theory, Harmonic Analysis