This integration allows for the standardization of high-level logical circuit descriptions, enabling QEC algorithm workloads to be compiled, benchmarked, and executed across various physical backends. At IEEE Quantum Week 2026, IQM Quantum Computers announced the adoption of NVIDIA CUDA-Q Logical within their Halocene quantum error correction product line.
At IEEE Quantum Week 2026, IQM Quantum Computers announced the adoption of NVIDIA CUDA-Q Logical within their Halocene quantum error correction product line.
This integration allows for the standardization of high-level logical circuit descriptions, enabling QEC algorithm workloads to be compiled, benchmarked, and executed across various physical backends.
The framework provides auditable multi-layer resource estimates and supports up to 5 logical qubits, aiming to standardize the evaluation and validation of QEC designs on physical testbed hardware.
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At IEEE Quantum Week 2026, IQM Quantum Computers announced the adoption of NVIDIA CUDA-Q Logical within their Halocene quantum error correction product line. This integration allows for the standardization of high-level logical circuit descriptions, enabling QEC algorithm workloads to be compiled, benchmarked, and executed across various physical backends. The framework provides auditable multi-layer resource estimates and supports up to 5 logical qubits, aiming to standardize the evaluation and validation of QEC designs on physical testbed hardware.
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