Quantum Neural Networks (QNNs) with MATLAB скачать в хорошем качестве

Quantum Neural Networks (QNNs) with MATLAB

Discover how to implement quantum neural networks (QNNs) using MATLAB Support Package for Quantum Computing. This demonstration shows you how to train a hybrid quantum-classical neural network for a classification problem that is nonlinearly separable. Learn how to combine quantum computing and AI technologies within the MATLAB® ecosystem to tackle complex data problems efficiently. Highlights: Understand the basics of QNNs and their applications. Learn how to set up and train a QNN using MATLAB. Explore the integration of quantum layers into classical neural networks. See how quantum computing can accelerate neural network training and performance. Related Information: Quantum Computing with MATLAB: https://bit.ly/3zyLNEK Solve XOR Problem Using Quantum Neural Network: https://bit.ly/3CctFSC Deep Learning Onramp: https://bit.ly/3PKBVfh Introduction to Quantum Computing: https://bit.ly/3zyJ9ir List of Deep Learning Layers: https://bit.ly/4aaug47 Define Custom Deep Learning Layer: https://bit.ly/4a5fP13 Types of Quantum Gates: https://bit.ly/4h8BSpJ Examples and How To: Quantum Monte Carlo Simulation: https://bit.ly/3zQhp9n Solve Max-Cut Problem Using QAOA: https://bit.ly/3DNU21W Ground-State Protein Folding Using Variational Quantum Eigensolver (VQE): https://bit.ly/3Whb92M Chapters: 00:00 Introduction 00:28 Exploring the Example 01:08 Learn Neural Networks with MATLAB 01:28 Data and Task 01:56 How Quantum Computing Accelerates Neural Networks 03:46 How the Quantum Neural Network Works 08:47 Training and Testing Results 09:23 Summary 10:05 Call to Action -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2025 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.