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Machine Learning for ABACUS
Jean-Sébastien Caux edited this page 5 years ago
Machine Learning for ABACUS
Description
ABACUS is J-S Caux’s machine for computing physical properties (states, matrix elements, correlation functions) of integrable models.
There are 3 aspects for which engines based on modern machine learning techniques could eventually be implemented:
- solving the Bethe equations
- evaluating matrix elements
- scanning the Hilbert space
This project would aim at implementing the first of these engines.
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