Contributing to the early application of quantum computers in drug discovery and new material development

TOKYO, March 25, 2026 /PRNewswire/ -- Fujitsu Limited and the Center for Quantum Information and Quantum Biology at The University of Osaka today announced the development of a new technology designed to accelerate the industrial application of quantum computers in the era of early fault-tolerant quantum computing (early-FTQC). By combining ver. 3 of the STAR architecture, a unique highly efficient phase rotation gate quantum computing architecture, with a novel molecular model optimization technique, researchers have significantly reduced computational resource requirements. This breakthrough will enable the energy calculations for chemical material design such as catalyst molecules, within a realistic timeframe using early-FTQC quantum computers. These kinds of calculations are currently not possible using current computers, and would take millennia even using previous versions of the STAR architecture. The technologies are expected to contribute to solving various societal challenges, including accelerating drug discovery, improving the efficiency of ammonia synthesis processes, and advancing carbon recycling technologies.

Background

Quantum computing holds significant promise across a wide range of industries, including drug discovery, cryptography, and finance. However, current quantum systems are highly error-prone, and practical applications are generally believed to require quantum computers with millions of qubits.

In addition, the accurate calculation of complex molecular chemical energies for practical applications has required excessive computational resources, with prior methods limited by insufficient computational power or impractical timeframes.

Future plans

Fujitsu and The University of Osaka will continue to advance the STAR architecture and molecular model optimization technology, expanding the practical application range of quantum computers in the early-FTQC era. The partners aim to contribute to solving societal challenges by applying these technologies across various industrial fields, including drug discovery, new material development, and finance.

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