Этот веб-сайт требует, чтобы для Вашего браузера был включен JavaScript.
Пожалуйста, включите JavaScript и перезагрузите страницу.
Для веб-сайта требуется, чтобы Ваш браузер разрешил использование файлов cookie для входа в систему.
Пожалуйста, активируйте cookies и перезагрузите страницу.
Carte romana
Carte rusa
Carte engleza
Vezi toate cartile
Top branduri cosmetica
Cosmetica Coreeana
Machiaj
Ingrijire ten
Ingrijire par
Ingrijire corp
Produse de baie
Igiena orala
Igiena intima
Igiena sexuala
Cosmetice barbati
Seturi cadou
Naturale si organice
Vezi toate cosmeticele
Top branduri dermatocosmetica
Protectie solara
Seturi cadou si pachete promo
Parfumuri pentru femei
Top branduri femei
Premium brands femei
Parfumuri unisex
Vezi toate parfumurile
Parfumuri pentru barbati
Top branduri barbati
Premium brands barbati
Jucarii si jocuri
Hrana si articole copii
Scutece si servetele
Rechizite si papetarie
Vezi toate produsele
Nutritie & Suplimente
Branduri
Certificate Cadou
Felicitari
Plicuri
Cutii si Accesorii
Santanu GangulyQuantum Machine Learning: An Applied Approach: The Theory and Application of Quantum Machine Learning in Science and Industry
в Пункте приема от 99,9 лей
Даже распечатанный
Перед оплатой
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.
What You will Learn
About author(s):
Santanu Ganguly has been working in the fields of quantum technologies, cloud computing, data networking, and security (on research, design, and delivery) for over 21 years. He works in Switzerland and the United Kingdom (UK) for various Silicon Valley vendors and ISPs. He has two postgraduate degrees (one in mathematics and another in observational astrophysics), and research experience and publications in nanoscale photonics and laser spectroscopy. He is currently leading global projects out of the UK related to quantum communication and machine learning, among other technologies.
Мы хотели бы узнать Ваше мнение! Оценить и пересмотреть этот пункт
Нет ни одного отзыва от других пользователей.