aiqbench analysis
This article centers on Infleqtion's development of high-rate quantum error correction codes using NVIDIA CUDA-Q Logical, specifically focusing on hypergraph-product simplex (HGPS) architectures that improve logical-to-physical qubit ratios. The work demonstrates a significant advancement in fault-tolerant quantum computing by integrating open-source qLDPC tools to construct validated code blocks with superior encoding rates compared to traditional surface codes.
Infleqtion at IEEE Quantum Week 2026: Advancing Fault-Tolerant Quantum Computing with NVIDIA CUDA-Q Logical
My colleagues and I are excited to be at IEEE Quantum Week 2026 to share our work on quantum error correction using NVIDIA CUDA-Q Logical. How is Infleqtion using NVIDIA CUDA-Q Logical to advance fault-tolerant quantum computing? During IEEE Quantum Week, we are excited to preview work that our team has developed through early access to NVIDIA CUDA-Q Logical, which ... Read more The post Infleqtion at IEEE Quantum Week 2026: Advancing Fault-Tolerant Quantum Computing with NVIDIA CUDA-Q Logical appeared first on Infleqtion.
My colleagues and I are excited to be at IEEE Quantum Week 2026 to share our work on quantum error correction using NVIDIA CUDA-Q Logical. How is Infleqtion using NVIDIA CUDA-Q Logical to advance fault-tolerant quantum computing? During IEEE Quantum Week, we are excited to preview work that our team has developed through early access to NVIDIA CUDA-Q Logical, which was just announced. This new logical layer extends the CUDA-Q open platform for Quantum-GPU Supercomputing with a toolset designed to accelerate the execution of fault-tolerant quantum algorithms. At its core, our work using CUDA-Q Logical centers on quantum error correction (QEC). We integrated CUDA-Q Logical with the qLDPC software package, which we open-sourced while working alongside researchers from JPMorgan Chase last year. Specifically, we used CUDA-Q Logical…
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