MPS pre-training, neural-network-assisted zero-noise extrapolation, and Pauli grouping combine to give simulated H4 ground-state energies within about 0.02 Hartree of the FCI benchmark under a specific noise model.
Mps-vqe: A variational quantum computational chemistry simulator with matrix product states,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
quant-ph 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Noise-Mitigated Variational Quantum Eigensolver with Pre-training and Zero-Noise Extrapolation
MPS pre-training, neural-network-assisted zero-noise extrapolation, and Pauli grouping combine to give simulated H4 ground-state energies within about 0.02 Hartree of the FCI benchmark under a specific noise model.