ORCA Computing Advances Photonic Quantum Simulation with NVIDIA cuTensorNet
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Insider Brief ORCA Computing has developed a GPU-accelerated photonic quantum simulator using NVIDIA’s cuQuantum library and cuTensorNet to enable scalable simulation of photonic quantum circuits aligned with its PT-2 processor. The simulator addresses infrastructure gaps in existing simulation tools that were designed primarily for qubit-based models, providing improved scalability for modeling larger photonic systems in hybrid quantum-classical workflows. ORCA plans to open-source the photonic simulator in coordination with an upcoming NVIDIA CUDA-Q release, enabling broader community access and reproducible benchmarking across photonic quantum computing workflows. PRESS RELEASE — ORCA Computing, a leading quantum computing company, today announced a major step forward in accelerating photonic quantum simulation through the use of NVIDIA accelerated computing and the cuTensorNet library, expanding support for scalable hybrid quantum-classical workflows. High-performance simulation plays a critical role in the development and validation of quantum computing systems. Many existing simulation tools were designed around qubit-based models, creating a gap in infrastructure for photonic quantum systems. ORCA has addressed this gap by developing a GPU-accelerated photonic simulator built on NVIDIA’s cuQuantum library, enabling significantly improved scalability for modeling larger photonic circuits. By leveraging NVIDIA accelerated computing, ORCA’s approach enables faster simulations of photonic systems at larger scales aligned with ORCA’s PT-2 processor. This capability provides researchers and developers with practical tools to prototype algorithms, validate architectures and benchmark performance in a hybrid quantum-classical environment. “Our collaboration with NVIDIA strengthens the foundation for scalable photonic quantum computing,” saidWilliam Clements, Head of Applications and Software at ORCA Computing. “GPU-accelerated simulation is an essential component of hybrid quantum-classical integration and expands the tools available to developers working within the CUDA ecosystem.” ORCA plans to open-source the photonic simulator in alignment with an upcoming NVIDIA CUDA-Q release, enabling broader community access and reproducible benchmarking across photonic workflows. “GPU-accelerated simulations are driving breakthroughs in quantum computing, and cuQuantum enables the largest simulations achievable,” said Sam Stanwyck, Director of Quantum Product at NVIDIA. “Through our collaboration with ORCA, researchers in photonic quantum computing can now scale their simulations of photonic systems and develop the hybrid algorithms for future quantum supercomputing systems.” Mohib Ur Rehman LinkedIn Mohib has been tech-savvy since his teens, always tearing things apart to see how they worked. His curiosity for cybersecurity and privacy evolved from tinkering with code and hardware to writing about the hidden layers of digital life. Now, he brings that same analytical curiosity to quantum technologies, exploring how they will shape the next frontier of computing. Share this article: