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Fujitsu and The University of Osaka Implement Early-FTQC Framework for Chemical Calculations

Quantum Computing Report
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Fujitsu and Osaka University developed a framework for early fault-tolerant quantum computers (FTQC) to accelerate chemical energy calculations, overcoming classical supercomputer limitations in catalyst modeling. The STAR architecture ver. 3 boosts accuracy over 10x using phase rotation gates and logical-T gates, cutting qubit requirements by 15–80x while relaxing error thresholds from 0.01% to 0.10%. A molecular optimization technique decomposes models into key terms, applying targeted time evolution and sampling to shrink quantum circuits and reduce computation time without sacrificing precision. Tests on Cytochrome P450 and ruthenium catalysts confirmed feasibility, slashing runtime from millennia to 10–35 days at relaxed error rates. The team aims to further speed calculations via parallel quantum processing, targeting industrial applications in ammonia synthesis, carbon recycling, and drug development.
Fujitsu and The University of Osaka Implement Early-FTQC Framework for Chemical Calculations

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Fujitsu and The University of Osaka Implement Early-FTQC Framework for Chemical Calculations Fujitsu Limited and The University of Osaka have reported the development of technical frameworks for chemical material energy calculations on early fault-tolerant quantum computers (early-FTQC). The approach combines the STAR architecture ver. 3 with a molecular model optimization technique to reduce computational resource requirements. This integration is designed to enable high-precision energy calculations for catalyst molecules within practical timeframes—tasks that are currently restricted by the memory and processing limits of classical supercomputers. The STAR architecture ver. 3 utilizes a phase rotation gate quantum computing model to improve computational accuracy by more than 10x compared to previous iterations. By integrating phase rotation gates with logical-T gates, the architecture facilitates complex molecular calculations with lower total qubit counts. This design relaxes the physical error rate requirements for qubits from 0.01% to 0.10%, which supports the deployment of near-term hardware for fault-tolerant operations without the immediate necessity for million-qubit arrays. The associated molecular model optimization technology refines the generation of quantum circuits by decomposing molecular models into specific constituent terms. The methodology selectively applies time evolution and random sampling techniques based on the calculated importance of each term, reshaping the model while maintaining approximation accuracy. This targeted redistribution of term importance minimizes the total number of gates in the resulting quantum circuits, leading to a quantifiable reduction in total computation time. Validation of these technologies involved energy calculations for Cytochrome P450, iron-sulfur clusters, and ruthenium catalysts. Results indicate that the STAR architecture ver. 3 reduces the required qubit count to between 1/15 and 1/80 of that required by conventional FTQC architectures for these specific instances. Furthermore, the partners confirmed that accurate energy calculations for these molecules are technically feasible on early-FTQC systems even when utilizing qubits with a relaxed physical error rate of 0.10%. Implementation of these techniques shortened projected computation times by three orders of magnitude compared to unoptimized methods. Calculations that previously required millennia-scale runtimes were estimated at approximately 35 days at a 0.10% error rate and 10 days at 0.01%. Fujitsu and The University of Osaka intend to further reduce these durations through parallel computing across multiple quantum processors, targeting industrial applications in ammonia synthesis, carbon recycling, and pharmaceutical development. For the complete technical breakdown of the STAR architecture evolution and molecular validation results, consult the official press release here. Technical details on the STAR architecture are available here. March 25, 2026 Mohamed Abdel-Kareem2026-03-25T10:14:30-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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Source: Quantum Computing Report