{"product_id":"nvidia-cuda-q-for-quantum-developers-build-hybrid-quantum-classical-applications-with-python-c-for-gpu-accelerated-simulation-and-real-qpus-9798270492663","title":"NVIDIA CUDA-Q for Quantum Developers: Build Hybrid Quantum-Classical Applications with Python \u0026 C++ for GPU-Accelerated Simulation and Real QPUs","description":"\u003cp\u003e • Author(s): Maximilian Freitag\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Programming - Parallel\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNVIDIA CUDA-Q for Quantum Developers: Build Hybrid Quantum-Classical Applications with Python \u0026amp; C++ for GPU-Accelerated Simulation and Real QPUs\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eQuantum computing is no longer a distant theory, it's here, blending with classical systems to solve problems that once seemed unreachable. Yet, most developers struggle to connect quantum logic with real-world, GPU-accelerated workflows. \u003ci\u003eNVIDIA CUDA-Q for Quantum Developers\u003c\/i\u003e bridges that gap with a hands-on, engineering-first approach that shows you exactly how to build, simulate, and deploy hybrid quantum-classical applications in Python and C++ using NVIDIA's CUDA-Q platform.\u003c\/p\u003e\u003cp\u003eThis book equips you to think and build like a modern hybrid developer. It takes you from your first working kernel to high-performance variational algorithms, seamlessly integrating quantum kernels with classical optimizers, tensor-network simulators, and GPU acceleration. Every concept is backed by complete, runnable examples and real code you can execute directly, no placeholders, no theoretical shortcuts.\u003c\/p\u003e\u003cp\u003eThrough clear explanations and structured examples, you'll learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eWrite and execute quantum kernels using Python and C++ APIs.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eRun GPU-accelerated quantum simulations with cuQuantum integration.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eImplement practical algorithms like VQE, QAOA, and Grover's search.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild hybrid optimization loops with classical frameworks such as SciPy.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eProfile performance, manage backends, and prepare for execution on real QPUs.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eContainerize, test, and deploy reproducible workflows in professional environments.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eEvery chapter builds toward production-grade patterns, teaching you how to debug, test, and scale your circuits while maintaining the performance discipline expected of GPU developers. Beyond syntax, it focuses on design logic: how to think about hybrid algorithms, measure efficiency, and engineer robust quantum-classical systems for simulation and hardware.\u003c\/p\u003e\u003cp\u003eWhether you're a software engineer entering quantum computing for the first time or an experienced researcher looking to optimize multi-GPU simulations, this book provides a practical framework for bridging both worlds.\u003c\/p\u003e\u003cp\u003eIf you're ready to turn quantum theory into working code, and see your circuits run faster, smarter, and closer to hardware, \u003ci\u003eNVIDIA CUDA-Q for Quantum Developers\u003c\/i\u003e is your next essential step.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46331879293079,"sku":"9798270492663","price":2309.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798270492663.webp?v=1768724590","url":"https:\/\/atlanticbooks.com\/products\/nvidia-cuda-q-for-quantum-developers-build-hybrid-quantum-classical-applications-with-python-c-for-gpu-accelerated-simulation-and-real-qpus-9798270492663","provider":"Atlantic Books","version":"1.0","type":"link"}