Articles liés à Applying AI to Quantum Field Theory
Synopsis
What happens when you teach neural networks the deepest symmetries of nature?
This book is a hands-on introduction to one of the most exciting frontiers in science: the convergence of artificial intelligence and quantum field theory. Written for physicists curious about machine learning and for AI practitioners drawn to fundamental physics, it bridges both worlds with clarity, rigor, and working Python code.
The journey begins with a surprising discovery. The renormalization group, one of the most powerful tools in theoretical physics, maps directly onto the information flow through neural network layers. Gauge symmetry, the principle that governs every fundamental force, provides architectural blueprints for AI systems. Readers build a neural network from scratch that identifies phase transitions without being taught any physics, demonstrating how AI can rediscover fundamental principles from raw data alone.
The book then examines how AI tackles each type of quantum field. Neural networks reveal exotic scalar field phases that traditional methods miss. DeepMind's FermiNet achieves chemical accuracy for molecules with up to 30 electrons. MIT's gauge-equivariant normalizing flows reduce lattice QCD autocorrelation times by a factor of 100, conquering the critical slowing down that has stalled simulations for decades. Transformers compress million-term scattering amplitudes into single equations.
The final chapters look ahead to AI systems that do not merely calculate but create. Systems like MELVIN design quantum experiments no human has imagined. Language models solve bootstrap equations. Neural networks propose pathways toward grand unification. The book closes with the emerging partnership between quantum computers and classical AI, a combination that may finally unlock QFT's deepest unsolved problems.
Includes 17 chapters, a glossary, working code examples, and a companion GitHub repository.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour Applying AI to Quantum Field Theory
Image d'archives
Applying AI to Quantum Field Theory
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 51343047-n
Acheter neuf
EUR 19,04
Expédition à EUR 2,29
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Applying AI to Quantum Field Theory (Applying AI to Science)
impression à la demandeVendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. Print on Demand. N° de réf. du vendeur I-9798298713795
Acheter neuf
EUR 21,41
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Applying AI to Quantum Field Theory
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. N° de réf. du vendeur LU-9798298713795
Acheter neuf
EUR 21,78
Livraison gratuite
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Applying AI to Quantum Field Theory
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798298713795
Acheter neuf
EUR 22,86
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Applying AI to Quantum Field Theory
Edité par
Independently published, 2025
ISBN 13 : 9798298713795
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51343047
Acheter D'occasion
EUR 20,65
Expédition à EUR 2,29
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Applying AI to Quantum Field Theory (Paperback)
impression à la demandeVendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. What happens when you teach neural networks the deepest symmetries of nature?This book is a hands-on introduction to one of the most exciting frontiers in science: the convergence of artificial intelligence and quantum field theory. Written for physicists curious about machine learning and for AI practitioners drawn to fundamental physics, it bridges both worlds with clarity, rigor, and working Python code.The journey begins with a surprising discovery. The renormalization group, one of the most powerful tools in theoretical physics, maps directly onto the information flow through neural network layers. Gauge symmetry, the principle that governs every fundamental force, provides architectural blueprints for AI systems. Readers build a neural network from scratch that identifies phase transitions without being taught any physics, demonstrating how AI can rediscover fundamental principles from raw data alone.The book then examines how AI tackles each type of quantum field. Neural networks reveal exotic scalar field phases that traditional methods miss. DeepMind's FermiNet achieves chemical accuracy for molecules with up to 30 electrons. MIT's gauge-equivariant normalizing flows reduce lattice QCD autocorrelation times by a factor of 100, conquering the critical slowing down that has stalled simulations for decades. Transformers compress million-term scattering amplitudes into single equations.The final chapters look ahead to AI systems that do not merely calculate but create. Systems like MELVIN design quantum experiments no human has imagined. Language models solve bootstrap equations. Neural networks propose pathways toward grand unification. The book closes with the emerging partnership between quantum computers and classical AI, a combination that may finally unlock QFT's deepest unsolved problems.Includes 17 chapters, a glossary, working code examples, and a companion GitHub repository. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798298713795
Acheter neuf
EUR 23,70
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Applying AI to Quantum Field Theory
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798298713795
Acheter neuf
EUR 21,67
Expédition à EUR 3,85
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Applying AI to Quantum Field Theory
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 51343047-n
Acheter neuf
EUR 21,33
Expédition à EUR 17,55
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Applying AI to Quantum Field Theory
Edité par
Independently published, 2025
ISBN 13 : 9798298713795
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51343047
Acheter D'occasion
EUR 22,78
Expédition à EUR 17,55
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Applying AI to Quantum Field Theory (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. 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 réf. du vendeur 9798298713795
Acheter neuf
EUR 25,30
Expédition à EUR 43,30
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)