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CUDA-Q Release Accelerates Quantum Error Correction Research

0 significantly accelerates quantum error correction research with new tools and algorithms. Professor David Lyons’ team at Riverlane developed a GPU-accelerated tensor network decoder achieving parity with Google’s implementation. This release addresses the challenge of QEC scalability and enables faster prototyping of error-corrected quantum circuits for practical applications. With auto-generated detector error models and a generative quantum…
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quantumzeitgeist.com broke the news in on Thursday, August 14, 2025.
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