AI coding agents evolve simple ground-state protocols into improved versions for VQE, DMRG, and AFQMC on spin models and molecules by using executable energy scores under fixed compute budgets.
URL https://www.sciencedirect.com/science/article/pii/0029558260900481
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The review describes how SSRPA fixes SRPA pathologies in EDF theory, presents applications to charge-conserving and charge-exchange excitations with experimental comparisons, and discusses impacts on the nuclear equation of state.
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Optimizing ground state preparation protocols with autoresearch
AI coding agents evolve simple ground-state protocols into improved versions for VQE, DMRG, and AFQMC on spin models and molecules by using executable energy scores under fixed compute budgets.
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Recent applications of the subtracted second RPA method
The review describes how SSRPA fixes SRPA pathologies in EDF theory, presents applications to charge-conserving and charge-exchange excitations with experimental comparisons, and discusses impacts on the nuclear equation of state.