PsiQuantum Construct Achieves Up to 450x Speedup With NVIDIA CUDA-Q Integration
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Insider Brief PsiQuantum has integrated NVIDIA CUDA-Q with its Construct software suite to enable GPU-accelerated state-vector simulation of large-scale quantum algorithms, delivering up to 450x faster performance compared to CPU-based simulation. The integration allows Construct users to access GPU-accelerated simulation capabilities within existing workflows without code changes, with tunable acceleration ranging from 8x speedup to 450x for multi-GPU nodes using the cuQuantum simulation engine. Early access to the integration is available by request for Construct users, following PsiQuantum’s September 2025 launch of Construct and February 2026 release of its open-access Circuit Designer web application. PRESS RELEASE — Today, PsiQuantum announced the integration of NVIDIA CUDA-Q with Construct, PsiQuantum’s software suite for fault-tolerant quantum application development. The integration enables GPU-accelerated state-vector simulation of large-scale quantum algorithms, delivering up to 450x faster performance compared to CPU-based simulation. Construct users can now request early access to GPU-accelerated simulation capabilities within their existing workflows via CUDA-Q. This new integration allows developers to validate and benchmark complex quantum algorithms at scales that were previously impractical when using CPU-based simulators. Integrating CUDA-Q into Construct will provide users with tunable acceleration based on their specific needs, ranging from an 8x speedup to up to 450x for best-in-class multi-GPU nodes. “As the industry moves toward utility-scale, fault-tolerant quantum computing, rigorous verification of large-scale quantum applications is essential,” said Sam Pallister, VP of Quantum Applications at PsiQuantum. “By integrating NVIDIA CUDA-Q’s GPU-acceleration into Construct, we are giving developers the ability to simulate and stress-test algorithms at an advanced scale, mitigating deployment risk.” CUDA-Q is the NVIDIA platform for hybrid quantum-classical computing, designed to enable developers to build and simulate quantum algorithms alongside GPU-accelerated classical workloads. By integrating CUDA-Q into its software development kit, PsiQuantum enables Construct users to perform optimized GPU state-vector simulation, leveraging the NVIDIA cuQuantum simulation engine without a single change to users’ existing code. “Simulating future quantum workloads means modelling a complex hybrid quantum-classical environment,” said Tim Costa, Vice President and General Manager for Quantum at NVIDIA. “By integrating the CUDA-Q platform into their workflow, PsiQuantum is able to run GPU-accelerated simulations at the magnitudes they need to deploy large-scale, fault-tolerant quantum applications.” Utility-scale quantum computing demands a shift from small experimental circuits to production-grade quantum applications whose correctness and performance must be established long before execution on hardware. High-performance classical simulation plays a pivotal role in this transition, enabling developers to stress-test algorithms, explore parameter regimes, and de-risk deployment at scale. By bringing NVIDIA’s accelerated computing platform into Construct, PsiQuantum is establishing the simulation infrastructure required to support the next generation of fault-tolerant quantum applications. PsiQuantum launched Construct in September 2025, with users across industry and academia actively using the tools. In February 2026, PsiQuantum announced a stand-alone, open-access web application of its Circuit Designer tool. Circuit Designer is the fastest and easiest way to create and share quantum circuit diagrams commonly found in academic research, allowing users to prototype new quantum algorithms and advance quantum algorithm development. Early access to the integration is available by request, allowing Construct users to experience the benefits of GPU acceleration for their largest simulation tasks.
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: