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Quantum Machine Learning
Black-Hole evaporation from the perspective of neural networks
arXiv
Authors: Ivan Arraut
Year
2018
Paper ID
22801
Status
Preprint
Abstract Read
~2 min
Abstract Words
41
Citations
N/A
Abstract
We study the black-hole evaporation from the perspective of neural networks. We then analyze the evolution of the Hamiltonian, finding in this way the conditions under which the synapse connecting the neurons changes from gravitatory to inhibitory during the evaporation process.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2018 reference point for readers tracking recent quantum research.
- We study the black-hole evaporation from the perspective of neural networks.
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