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Infleqtion's demonstration of 30 entangled logical qubits marks a significant milestone in neutral-atom quantum computing, validating its roadmap to scale toward 1,000 logical qubits by 2030. The breakthrough relies heavily on AI-assisted circuit discovery and software loss correction, which together reduced physical gate overhead and doubled execution yield for benchmark applications like biomarker discovery. This integration of advanced AI models with quantum hardware highlights a critical convergence where machine learning directly enhances quantum processor efficiency and scalability.

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Infleqtion Achieves 30 Entangled Logical Qubits on Sqale Neutral-Atom Quantum Processor

Quantum Computing ReportSeptember 25, 20262 min read

Infleqtion has achieved 30 entangled logical qubits on its commercial Sqale quantum computing platform, utilizing 80 physical neutral-atom qubits. This breakthrough, announced at Quantum World Congress 2026, was enabled by an AI-assisted logical circuit discovery and software-based loss correction. This positions Infleqtion to scale to 100 logical qubits by 2028 and 1,000 by 2030, with current applications in biomarker discovery. The post Infleqtion Achieves 30 Entangled Logical Qubits on Sqale Neutral-Atom Quantum Processor appeared first on Quantum Computing Report.

Neutral-atom quantum technology developer Infleqtion, Inc. (NYSE: INFQ) has demonstrated 30 entangled logical qubits on its commercial Sqale™ quantum computing platform. Announced at Quantum World Congress 2026, the breakthrough encodes 30…

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