High-Performance Quantum Computing With NVIDIA's CUDA-Q Build, Tune, and Deploy Hybrid CUDA-Q Kernels Across GPUs, CPUs, and QPUs

High-Performance Quantum Computing with NVIDIA's CUDA-Q: Build, Tune, and Deploy Hybrid CUDA-Q Kernels Across GPUs, CPUs, and QPUs
Are you ready to push the boundaries of quantum computing performance? Today's leading-edge research demands seamless integration between classical GPUs, CPUs, and real quantum processors-but bridging that gap can feel like mastering three different worlds at once.

High-Performance Quantum Computing with NVIDIA's CUDA-Q delivers a unified framework for writing, tuning, and deploying hybrid quantum-classical kernels that run effortlessly on GPUs, CPUs, and cloud-based QPUs. You'll learn how to harness NVIDIA's CUDA-Q toolkit to prototype on your laptop, scale simulations across multi-GPU clusters, and submit real-hardware jobs to IBM, IonQ, Quantinuum, or Pasqal devices-all from the same codebase.

Inside, you'll discover how to:

• Architect hybrid CUDA-Q kernels in both Python and C++20, leveraging CUDA-Q's unified API to manage qubits, gates, and measurements

• Scale state-vector and tensor-network simulators across single or multiple GPUs with cuQuantum and MPI-parallel jobs

• Profile and tune performance with NVIDIA Nsight Systems & Compute, optimize gate fusion, and streamline kernel launches

• Implement advanced patterns like variational VQE/QAOA workflows, multi-control ancilla-efficient circuits, and error-corrected-ready primitives

• Integrate quantum pipelines into CI/CD, containerize with NGC images, and automate testing, monitoring, and secure credential management

By mastering these techniques, you'll gain the ability to:

• Prototype quantum algorithms in minutes using GPU-accelerated simulators

• Transition seamlessly from simulation to cloud QPU validation without rewriting kernels

• Maximize throughput and resource utilization on NVIDIA hardware

• Build maintainable, versioned quantum-classical applications with robust CI/CD pipelines

Whether you're a GPU-focused researcher, an HPC engineer, or a quantum algorithm developer, this book equips you with industry-standard workflows and code recipes to accelerate your work. Elevate your quantum-computing projects with proven strategies and end-to-end examples that highlight NVIDIA's cutting-edge ecosystem.

Take the next step: Add High-Performance Quantum Computing with NVIDIA's CUDA-Q to your toolkit today and start building the hybrid quantum-classical solutions of tomorrow.