Fujitsu and University of Osaka Advance Quantum Computing for Chemical Energy Calculations
Fujitsu and the University of Osaka have developed a new technology combining STAR architecture ver. 3 and molecular model optimization to enhance energy calculations for chemical materials using early fault-tolerant quantum computing (early-FTQC). This innovation significantly reduces computational resource requirements, allowing for accurate calculations that were previously unfeasible. The technology aims to accelerate drug discovery, improve ammonia synthesis efficiency, and advance carbon recycling.
Fujitsu and the University of Osaka announced a technology advancement utilizing STAR architecture ver. 3 and molecular model optimization for energy calculations of chemical materials on early fault-tolerant quantum computers (early-FTQC). This development lowers computational resource needs, enabling practical energy calculations for complex molecules like Cytochrome P450 and Ruthenium catalysts, which were previously impossible due to time constraints.
AI-curated by TheiaSTAR architecture ver. 3 reduces qubit requirements to 1/15 to 1/80 of traditional architectures and allows calculations with error rates from 0.01% to 0.10%. The partners aim to apply these technologies to various societal challenges across multiple industries, including drug discovery and new material development.
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