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Physica A Statistical Mechanics and its Applications

Variational principle for dynamic susceptibilities

G�nter Sauermann

Published Sep 1, 1979• 4 citations
Publisher
DOI
10.1016/0378-4371(79)90186-9

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A variational action principle

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Algorithms which prepare states via the variational principle assume that closeness in energy implies closeness in state; we formalise how this assumption can fail by showing that a ground-state energy estimate converged to within εεε of the true value is compatible with observable expectation values in error by up to 2εχO\sqrt{2εχ_O}2εχO​​ at leading order, where χOχ_OχO​ is the static susceptibility of the observable. As a result, the observable error can be orders of magnitude larger than the energy error, a mechanism we call non-linear error amplification, and because a variational algorithm cannot guarantee the correctness of these properties from energy alone, energy does not necessarily certify an observable. In light of our findings, we examine three algorithms: the variational quantum eigensolver on the transverse-field Ising chain, the density-matrix renormalisation group on a pair of weakly coupled hydrogen chains, and Krylov quantum diagonalisation on lithium fluoride. In each case we demonstrate that a well-converged energy can leave observables uncertified.