SOLAX release
SOLAX is an open-source Python solver for fermionic quantum many-body systems with neural-network support. It provides a modular framework—based on the standard formalism of second quantization—for building basis sets, states, and operators, and for solving quantum cluster problems efficiently. Implemented on top of JAX, SOLAX combines conventional CI tooling with NN-accelerated techniques, and has been demonstrated on the Single Impurity Anderson Model.
• Read the paper (SciPost Physics Codebases): https://scipost.org/SciPostPhysCodeb.51
• Code repository (GitHub): https://github.com/pavlobilous/SOLAX