AS-SQD applies an active sampling strategy with Epstein-Nesbet perturbation scores to iteratively expand the basis in sample-based quantum diagonalization, achieving lower energy errors than standard or random methods on spin chains and IBM hardware.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
quant-ph 3years
2026 3roles
background 1polarities
background 1representative citing papers
SQD-AA reduces total query complexity by more than 100x on model distributions and achieves the lowest T-gate counts with 3-4 orders shallower circuits than iQPE for molecular examples.
SQD needs an exponentially increasing number of computational-basis configurations to approximate ground-state energies of Heisenberg and Hubbard models within fixed accuracy, even when configurations are chosen optimally by probability.
citing papers explorer
-
Active Sampling Sample-based Quantum Diagonalization from Finite-Shot Measurements
AS-SQD applies an active sampling strategy with Epstein-Nesbet perturbation scores to iteratively expand the basis in sample-based quantum diagonalization, achieving lower energy errors than standard or random methods on spin chains and IBM hardware.
-
Sample-Based Quantum Diagonalization with Amplitude Amplification
SQD-AA reduces total query complexity by more than 100x on model distributions and achieves the lowest T-gate counts with 3-4 orders shallower circuits than iQPE for molecular examples.
-
A Critical Assessment of the Sample-Based Quantum Diagonalization for Heisenberg and Hubbard Models
SQD needs an exponentially increasing number of computational-basis configurations to approximate ground-state energies of Heisenberg and Hubbard models within fixed accuracy, even when configurations are chosen optimally by probability.