NVIDIA CUDA-QX
Quantum researchers and developers across a wide range of domains, from quantum error correction to hybrid solvers, use GPU programming to accelerate their applications. This demands highly optimized, domain-specific libraries. NVIDIA CUDA-QX, built on top of CUDA-Q?, is a collection of libraries and tools for accelerating research and development toward useful accelerated quantum supercomputing.
CUDA-QX Libraries
CUDA-QX libraries are built on top of CUDA-Q, NVIDIA’s open-source, hardware-agnostic platform for accelerated quantum supercomputing, and are also released open-source on GitHub. The CUDA-QX libraries provide optimized implementations of key quantum primitives—from quantum error correction to hybrid algorithms—enabling developers to easily leverage the CUDA-Q platform.
CUDA-Q QEC
CUDA-Q QEC, which includes GPU-accelerated decoding primitives, Google’s stim stabilizer simulator, and extension points in CUDA-Q for custom decoders, is the foundational toolkit for any error correction researcher.
Learn More About CUDA-Q QECCUDA-Q Solvers
Run prebuilt optimized kernels for VQE, ADAPT-VQE, QAOA, GQE, and more to get the most performance out of today’s hardware.
Performance
Single Syndrome Decoding Latency
Batched Decoding Throughput
Belief Propagation-Ordered Statistics Decoding (BP-OSD) is one of the most promising approaches for scalable quantum error correction. CUDA-Q QEC accelerates BP-OSD with state-of-the-art latency and throughput, offering a 29–35x speedup over industry standard decoders for a single shot, as well as an additional speedup of up to 42x for high-throughput use cases where many syndromes need to be decoded at once.
Latest Product News
Introducing NVIDIA CUDA-QX Libraries for Accelerated Quantum Supercomputing
Learn how the CUDA-QX libraries can accelerate the development of hybrid applications, ranging from quantum error correction to chemical simulation.
Learn More About CUDA-QX LibrariesNVIDIA and QuEra Decode Quantum Errors with AI
Learn how researchers will boost magic state fidelity and accelerate QEC research with NVIDIA AI Decoder, a transformer based AI decoder.
Learn More About AI DecoderAccelerating Quantum Error Correction Research With NVIDIA Quantum
Learn how CUDA-Q QEC features like an advanced BP+OSD decoder implementation, integration with Infleqtion’s qLDPC code library, and CUDA-Q’s accelerated noisy simulator help streamline quantum error correction research.
Learn More About QECGet Started With CUDA-QX Today.