Filter-assisted SQD uses a quantum filter to engineer sparser ground-state wavefunctions, yielding orders-of-magnitude lower energy errors and reduced sampling overhead versus standard SQD on the transverse-longitudinal Ising model.
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A QSCI variant using stochastic quantum time evolution selects compact configuration subspaces for SiH4 energies, achieving over 200x reduction versus conventional SCI at large separations while matching Heatbath CI compactness.
Introduces ghost Gutzwiller quantum embedding for ground-state and spectral simulations of correlated electrons on quantum devices, tested on the infinite-dimensional Hubbard model with error mitigation.
citing papers explorer
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Filter-assisted quantum subspace diagonalization via wavefunction sparsity engineering
Filter-assisted SQD uses a quantum filter to engineer sparser ground-state wavefunctions, yielding orders-of-magnitude lower energy errors and reduced sampling overhead versus standard SQD on the transverse-longitudinal Ising model.
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Towards Compact Wavefunctions from Quantum-Selected Configuration Interaction
A QSCI variant using stochastic quantum time evolution selects compact configuration subspaces for SiH4 energies, achieving over 200x reduction versus conventional SCI at large separations while matching Heatbath CI compactness.
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Quantum-Classical Embedding via Ghost Gutzwiller Approximation for Enhanced Simulations of Correlated Electron Systems
Introduces ghost Gutzwiller quantum embedding for ground-state and spectral simulations of correlated electrons on quantum devices, tested on the infinite-dimensional Hubbard model with error mitigation.