Mastering Quantum Neural Networks: Learn to Build, Train, and Apply Hybrid Quantum–Classical Models with Qiskit, PennyLane, and TensorFlow Quantum
Quantum computing is no longer confined to research labs—it is shaping the future of artificial intelligence. Mastering Quantum Neural Networks is your definitive guide to understanding and applying the next generation of machine learning powered by quantum mechanics.
Written for engineers, researchers, and forward-thinking professionals, this book bridges the gap between theory and practice. You’ll learn how quantum principles such as superposition, entanglement, and measurement can be harnessed to create neural networks that go beyond the limits of classical AI. Each chapter combines clear explanations with hands-on coding examples, ensuring you gain both conceptual clarity and practical skills.
Inside, you will discover:
By the end of this book, you will have the knowledge and confidence to design, train, and apply your own quantum neural networks, equipping you with skills that place you at the forefront of this revolutionary field.
Whether you’re a machine learning practitioner looking to expand your skill set, a quantum computing enthusiast eager to build practical applications, or a professional preparing for the next wave of AI innovation, this book is your essential resource.
The future of AI is quantum. Start your journey today—scroll up and grab your copy of Mastering Quantum Neural Networks nowLe informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.