Applying AI to Quantum Field Theory (Paperback)

Idioma: inglés

Editorial: Independently Published, 2025

9798298713795

Serie: Libro 1 de 3 - Applying AI to Science

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Paperback. In 2019, Giuseppe Carleo and his team pioneered the application of machine learning to quantum physics. This book is an introduction to how AI revolutionizes quantum field theory (QFT), from scalar fields to complex gauge theories describing quarks and gluons. The narrative unfolds in three acts. First, readers discover the mathematical kinship between neural networks and quantum fields-the renormalization group maps onto information flow through neural layers, while gauge symmetry provides blueprints for AI architectures. Through Python code, readers build networks that discover phase transitions without being taught physics, demonstrating AI's ability to rediscover fundamental principles from data alone. The second act examines how AI addresses each type of quantum field. For scalar fields, neural networks identify exotic phases that traditional methods miss. For fermions, architectures like FermiNet achieve chemical accuracy while sidestepping computational barriers. For gauge fields, flow-based models conquer critical slowing down that has limited simulations for decades. Key breakthroughs include MIT's gauge-equivariant flows, which reduce autocorrelation times by a factor of 100, DeepMind's solution to 30-electron molecules, and the discovery by transformers that million-term scattering amplitudes can be expressed as a single equation. The final act envisions AI not just calculating but creating physics systems like MELVIN, designing quantum experiments that no human has imagined. Language models solve bootstrap equations. Neural networks propose routes to grand unification. The book culminates in a convergence of quantum computers and classical AI-a partnership that could crack QFT's deepest mysteries. By teaching AI nature's symmetries, we're creating systems that reveal patterns invisible to human analysis-AI intelligence is offering a different way of interrogating reality. Written as an introduction for physicists curious about AI and ML, as well as for AI and ML experts interested in fundamental physics, the book strikes a balance between rigor and practical implementation, offering both conceptual frameworks and tools for the quantum field theory revolution. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

N° de ref. del artículo 9798298713795

Título
Applying AI to Quantum Field Theory (Paperback)
Autor
H. Peter Alesso
Editorial
Independently Published
Año de publicación
2025
Estado
new
Encuadernación
Paperback
Idioma
inglés
ISBN 13
9798298713795
Serie
Libro 1 de 3: Applying AI to Science

CitiRetail

Stevenage, Reino Unido

Vendedor de 5 estrellas

Vendedor de AbeBooks desde 29 de junio de 2022

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Primer artículoEUR 43,02EUR 43,02
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