EigenBridge
There are two quantum solvers. VQD can return several eigenvalues; QAOA returns only the ground state.
VQD -> run_vqd_eigensolver(matrix, k) -> solve_vqd -> lowest k eigenvalues (k defaults to all)
QAOA -> run_qaoa_eigensolver(matrix, use_noise=false) -> solve_qaoa -> ground state only
Uncertainties (uq_values / uq_vectors)
- Noiseless solvers (LAPACK, VQD, noiseless QAOA):
uq_* = 0 - Noisy QAOA (
use_noise=true): at the final circuit,uq_values[0] = |E_noisy − E_exact|; Unused slots anduq_vectorsstay 0
The noisy QAOA unit test checks that uq_values[0] = |E_noisy − E_exact| (at the final circuit) and |λ_noisy − λ_LAPACK| agree within a factor of 10 (ratio < 10).
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