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investigates the ecological and evolutionary processes that dictate the distribution, adaptation and impacts of weeds in agroecosystems. Our basic research uses weeds as excellent models for studying rapid plant
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hardware and quantum algorithms that solve life-science-relevant chemical and biological problems. Among the four hardware platforms pursued by NQCP, the Spin Qubit Pilot Line Team aims at achieving a
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, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life-science
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usually have components in all the disciplines: applied data analysis, development/application of advanced statistical methodology, coding of algorithms and computer simulation, and writing of research