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.
Fock ,\ 10.1007/BF01340294 journal journal Zeitschrift f\" u r Physik \ volume 61 ,\ pages 126 ( year 1930 ) NoStop
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 6roles
background 1polarities
background 1representative citing papers
COO co-optimizes orbitals with TrimCI to absorb many-body correlations into the basis, cutting determinant count by orders of magnitude for iron-sulfur clusters versus localized bases or DMRG.
DMET combined with SQD on IBM Eagle hardware achieves chemical accuracy for ground-state energies of low-symmetry ligand-like molecules.
Binding sfTA produces bilayer binding correlation energies closer to twist-averaged CCSD than standard sfTA by incorporating binding interactions into twist-angle selection.
Fermion mappings combined with Z2 tapering and frozen-core approximations reduce qubit counts by up to 50%, gate counts by up to 27.5x, and Pauli strings by up to 2.75x for VQE on small molecules.
Phase-space kinetic modeling with distribution function f(r,p,t) is applied to solid-state plasmas in nano-objects, adding quantum, spin, relativistic and dissipative features for linear and nonlinear response examples.
citing papers explorer
-
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.
-
Absorbing Many-Body Correlations into Core-Optimized Orbitals
COO co-optimizes orbitals with TrimCI to absorb many-body correlations into the basis, cutting determinant count by orders of magnitude for iron-sulfur clusters versus localized bases or DMRG.
-
Quantum Simulation of Ligand-like Molecules through Sample-based Quantum Diagonalization in Density Matrix Embedding Framework
DMET combined with SQD on IBM Eagle hardware achieves chemical accuracy for ground-state energies of low-symmetry ligand-like molecules.
-
A Single Twist-Angle Selection Method for the Electronic Structure of Bilayer Materials
Binding sfTA produces bilayer binding correlation energies closer to twist-averaged CCSD than standard sfTA by incorporating binding interactions into twist-angle selection.
-
Resource Estimation for VQE on Small Molecules: Impact of Fermion Mappings and Hamiltonian Reductions
Fermion mappings combined with Z2 tapering and frozen-core approximations reduce qubit counts by up to 50%, gate counts by up to 27.5x, and Pauli strings by up to 2.75x for VQE on small molecules.
-
Phase-space modelling of solid-state plasmas
Phase-space kinetic modeling with distribution function f(r,p,t) is applied to solid-state plasmas in nano-objects, adding quantum, spin, relativistic and dissipative features for linear and nonlinear response examples.