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[Home](https://jscaux.org/git/jscaux/MSc_Project_Ideas/wiki/)
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# Machine Learning for ABACUS
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## Description
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ABACUS is J-S Caux's machine for computing physical properties (states, matrix elements, correlation functions) of integrable models.
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There are 3 aspects for which engines based on modern machine learning techniques could eventually be implemented:
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- solving the Bethe equations
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- evaluating matrix elements
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- scanning the Hilbert space
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This project would aim at implementing the first of these engines.
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