Name: Many-Sorted Algebras for Deep Learning and Quantum Technology (en Inglés)
SKU: 56716764
Price: 197.24 USD
Availability: InStock
Author: Charles R. Giardina Ph.D.
ISBN: 9780443136979

portada Many-Sorted Algebras for Deep Learning and Quantum Technology (en Inglés)

Many-Sorted Algebras for Deep Learning and Quantum Technology (en Inglés)

Formato

Libro Físico

Editorial

Morgan Kaufmann

Autor

Charles R. Giardina Ph.D.

Idioma

Inglés

N° páginas

422

Encuadernación

Tapa Blanda

ISBN13

9780443136979

N° edición

Many-Sorted Algebras for Deep Learning and Quantum Technology (en Inglés)

Charles R. Giardina Ph.d. (Autor) · Morgan Kaufmann · Tapa Blanda

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Reseña del libro "Many-Sorted Algebras for Deep Learning and Quantum Technology (en Inglés)"

Many-Sorted Algebras for Deep Learning and Quantum Technology presents a precise and rigorousdescription of basic concepts in quantum technologies and how they relate to deep learning and quantum theory. Current merging of quantum theory and deep learning techniques provides the need for a source that gives readers insights into the algebraic underpinnings of these disciplines. Although analytical, topological, probabilistic, as well as geometrical concepts are employed in many of these areas, algebra exhibits the principal thread; hence, this thread is exposed using many-sorted algebras. This book includes hundreds of well-designed examples that illustrate the intriguing concepts in quantum systems. Along with these examples are numerous visual displays. In particular, the polyadic graph shows the types or sorts of objects used in quantum or deep learning. It also illustrates all the inter and intra-sort operations needed in describing algebras. In brief, it provides the closure conditions. Throughout the book, all laws or equational identities needed in specifying an algebraic structure are precisely described.