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How a Neural Network Learned to See Quantum Foam ⚡ экспресс

Original: "Deep learning spinfoam vertex amplitudes: the Euclidean Barrett-Crane model"
· Hanno Sahlmann, Waleed Sherif
arXiv:2505.03255 · 2025-05-06 · CC BY · ⏱ 1 min · General Relativity HEP Theory Computational Physics
A neural network instantly computes quantum foam, replacing hours of work by powerful computers.
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Soap foam gave physicists a clue on how to speed up calculations for quantum gravity. Space can be represented as a network of tiny bubbles — calculating their interactions used to take hours. A neural network learned to predict the outcome in an instant and even find 'empty' options. This brings us closer to unraveling what happened at the very beginning of the Universe and inside black holes.

🎯 The idea that space may not be continuous but consists of minuscule grains dates back to the ancient Greek atomists. In modern physics, it was revived by [scientist:John Archibald Wheeler]John Archibald Wheeler[/scientist], who coined the term 'quantum foam'.

🎬 In the novel 'Blindsight', aliens communicate instantaneously thanks to the quantum nature of space. Perhaps understanding quantum foam will turn this science fiction into reality.

Scientists
Alan GuthAndrei LindeGeorges LemaîtreJames PeeblesAdam RiessBrian Schmidt
Tags
spacetime curvature black hole big bang
Laws
Friedmann equationsHubble's lawHawking radiationgravitational lensingBekenstein-Hawking entropyEinstein field equations
Original: arXiv:2505.03255 · CC BY · bridge42worlds