Quantum Machine Learning: An Applied Approach. The Theory and Application of Quantum Machine Learning in Science and Industry. 1st Ed. 244726

Паперова книга
244726
Quantum Machine Learning: An Applied Approach. The Theory and Application of Quantum Machine Learning in Science and Industry. 1st Ed. - фото 1
2'000
Купити

Все про “Quantum Machine Learning: An Applied Approach. The Theory and Application of Quantum Machine Learning in Science and Industry. 1st Ed.”

Від видавця

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.
The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost.
Hands-on exercises from open source libraries regularly used today in industry and research are included, such as Qiskit, Rigetti's Forest, D-Wave's dOcean, Google's Cirq and brand new TensorFlow Quantum, and Xanadu's PennyLane, accompanied by guided implementation instructions. Wherever applicable, the book also shares various options of accessing quantum computing and machine learning ecosystems as may be relevant to specific algorithms.
The book offers a hands-on approach to the field of QML using updated libraries and algorithms in this emerging field. You will benefit from the concrete examples and understanding of tools and concepts for building intelligent systems boosted by the quantum computing ecosystem. This work leverages the author’s active research in the field and is accompanied by a constantly updated website for the book which provides all of the code examples.
You will:
  • Understand and explore quantum computing and quantum machine learning, and their application in science and industry
  • Explore various data training models utilizing quantum machine learning algorithms and Python libraries
  • Get hands-on and familiar with applied quantum computing, including freely available cloud-based access
  • Be familiar with techniques for training and scaling quantum neural networks
  • Gain insight into the application of practical code examples without needing to acquire excessive machine learning theory or take a quantum mechanics deep dive

Рецензії

0

Всі характеристики

Товар входить до категорії

  • Самовивіз з відділень поштових операторів від 45 ₴ - 80 ₴
  • Безкоштовна доставка від 3000 грн
Схожі товари
Bayesian Optimization in Action
265872
Quan Nguyen
1'800 ₴
Artificial Intelligence for Robotics - Second Edition: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks 2nd ed. Edition
277869
Francis X. Govers IIIDr. Kamesh Namuduri
1'800 ₴
Elements of Deep Learning for Computer Vision: Explore Deep Neural Network Architectures, PyTorch, Object Detection Algorithms, and Computer Vision Applications for Python Coders
159991
Bharat Sikka
1'900 ₴
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 3rd Edition
197729
Aurelien Geron
1'520 ₴1'900 ₴
Reliable Machine Learning. Applying SRE Principles to ML in Production
197758
Cathy ChenNiall MurphyKranti Parisa
1'900 ₴
Machine Learning for High-Risk Applications: Approaches to Responsible AI 1st Edition
259255
Patrick HallJames CurtisParul Pandey
1'672 ₴1'900 ₴
Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play 2nd Edition
263221
David Foster
1'900 ₴
Exploring Deepfakes: Deploy powerful AI techniques for face replacement and more with this comprehensive guide
264115
Bryan LyonMatt Tora
1'900 ₴
Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines
267937
Vasques Xavier
1'900 ₴
Компьютерное зрение. Передовые методы и глубокое обучение (цветное издание)
202323
Рой ДэвисМэтью Тёрк
1'953 ₴2'100 ₴
Applied Deep Learning with TensorFlow 2. 2nd Ed.
244660
Umberto Michelucci
2'100 ₴
Introducing MLOps. How to Scale Machine Learning in the Enterprise. 1st Ed.
244757
Mark Treveil, Nicolas Omont, Cl?ment Stenac
2'100 ₴
AI and Machine Learning for On-Device Development: A Programmer's Guide. 1st Ed.
244740
Laurence Moroney
2'200 ₴
Practical AI on the Google Cloud Platform. Learn How to Use the Latest AI Cloud Services on the Google Cloud Platform
173878
Micheal Lanham
2'600 ₴
Practical Weak Supervision: Doing More with Less Data. 1st Ed.
244781
Wee Hyong Tok, Amit Bahree
2'600 ₴
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs 1st Edition
276180
James PhoenixMike Taylor
2'600 ₴