An iterative nonvariational quantum algorithm using warm-start states and classically computed imaginary time evolution circuits achieves median solutions within 95% of optimal for MaxCut on small 3-regular graphs using only 100 shots, outperforming random and basic classical searches.
Symmetry enhanced variational quantum imaginary time evolution
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
baseline 1
citation-polarity summary
verdicts
UNVERDICTED 3representative citing papers
Deterministic QITE made gauge-invariant via commuting Pauli operators achieves relative error below 0.1 percent for ground-state preparation in 2+1D Z2 LGT on systems up to twelve plaquettes, as shown by tensor-network simulations benchmarked against DMRG.
Review of quantum computing methods and potential for non-ground-state quantum chemistry including reaction dynamics, mechanisms, and finite temperatures.
citing papers explorer
-
Iterative warm-start optimization with quantum imaginary time evolution
An iterative nonvariational quantum algorithm using warm-start states and classically computed imaginary time evolution circuits achieves median solutions within 95% of optimal for MaxCut on small 3-regular graphs using only 100 shots, outperforming random and basic classical searches.
-
Ground state preparation in $(2+1)$-dimensional pure $\mathbb{Z}_2$ lattice gauge theory via deterministic quantum imaginary time evolution
Deterministic QITE made gauge-invariant via commuting Pauli operators achieves relative error below 0.1 percent for ground-state preparation in 2+1D Z2 LGT on systems up to twelve plaquettes, as shown by tensor-network simulations benchmarked against DMRG.
-
Quantum Computing Beyond Ground State Electronic Structure: A Review of Progress Toward Quantum Chemistry Out of the Ground State
Review of quantum computing methods and potential for non-ground-state quantum chemistry including reaction dynamics, mechanisms, and finite temperatures.