Hybrid QSCI method with LCNot-UCCSD ansatz and RBM-based configuration recovery enables NISQ-era molecular simulations, demonstrated on small molecules and DMET-embedded protein-ligand systems.
The iterative calculation of a few of the lowest eigenvalues and corresponding eigenvectors of large real-symmetric matrices,
4 Pith papers cite this work, alongside 2,541 external citations. Polarity classification is still indexing.
4
Pith papers citing it
2,541
external citations · OpenAlex
representative citing papers
LR-SCI-PT with second-order Epstein-Nesbet corrections improves static polarizabilities toward FCI limits for small molecules but preserves the parent pole structure, limiting it to static properties.
CUTS-GPR performs numerically exact Gaussian process regression with near-linear scaling in training points N and low-order polynomial scaling in dimensions D by exploiting additive kernels on incomplete grids.
Using DMET to fragment molecules and SQD to solve the fragments on IBM hardware, the authors report ground-state energies for eight ligand-like molecules that agree with DMET-FCI to within about 10⁻⁶ Hartree.
citing papers explorer
-
Bridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular Simulations
Hybrid QSCI method with LCNot-UCCSD ansatz and RBM-based configuration recovery enables NISQ-era molecular simulations, demonstrated on small molecules and DMET-embedded protein-ligand systems.
-
Perturbatively Corrected Linear Response Selected Configuration Interaction
LR-SCI-PT with second-order Epstein-Nesbet corrections improves static polarizabilities toward FCI limits for small molecules but preserves the parent pole structure, limiting it to static properties.
-
Don't Get Your Kroneckers in a Twist: Gaussian Processes on High-Dimensional Incomplete Grids
CUTS-GPR performs numerically exact Gaussian process regression with near-linear scaling in training points N and low-order polynomial scaling in dimensions D by exploiting additive kernels on incomplete grids.
-
Quantum Simulation of Ligand-like Molecules through Sample-based Quantum Diagonalization in Density Matrix Embedding Framework
Using DMET to fragment molecules and SQD to solve the fragments on IBM hardware, the authors report ground-state energies for eight ligand-like molecules that agree with DMET-FCI to within about 10⁻⁶ Hartree.