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

by Jayden Reed
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Current price ₹1,776.00
Original price ₹2,009.00
Original price ₹2,009.00
Original price ₹2,009.00
(-12%)
₹1,776.00
Current price ₹1,776.00

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Book cover type: Paperback
  • ISBN13: 9798288701245
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 158
  • Original Price: GBP 16.4
  • Language: English
  • Edition: N/A
  • Item Weight: 286 grams
  • BISAC Subject(s): Computer Architecture

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.

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