AI RESEARCH
Neural-Quantum-States Impurity Solver for Quantum Embedding Problems
arXiv CS.AI
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ArXi:2509.12431v2 Announce Type: replace-cross Neural quantum states (NQS) have emerged as a promising approach to solve second-quantized Hamiltonians, because of their scalability and flexibility. In this work, we design and benchmark an NQS impurity solver for the quantum embedding (QE) methods, focusing on the ghost Gutzwiller Approximation (gGA) framework. We