Journal of High Energy Physics · 2018 · 117 citations · 56 references
Natural SciencesComputer SciencePhysicsMathematical PhysicsQuantum ComputingTheoretical PhysicsBlack HolesChaos TheoryLyapunov ExponentsQuantum Complexity TheorySymmetry BreakingComplexityCost Growth AnalysisLower Bound ComputationLyapunov Exponent ComputationOperatorsPenaltiesQuantum Black HolesQuantum Chaos
A bstract We study aspects of black holes and quantum chaos through the behavior of computational costs, which are distance notions in the manifold of unitaries of the theory. To this end, we enlarge Nielsen geometric approach to quantum computation and provide metrics for finite temperature/energy scenarios and CFT’s. From the framework, it is clear that costs can grow in two different ways: operator vs ‘simple’ growths. The first type mixes operators associated to different penalties, while the second does not. Important examples of simple growths are those related to symmetry transformations, and we describe the costs of rotations, translations, and boosts. For black holes, this analysis shows how infalling particle costs are controlled by the maximal Lyapunov exponent, and motivates a further bound on the growth of chaos. The analysis also suggests a correspondence between proper energies in the bulk and average ‘local’ scaling dimensions in the boundary. Finally, we describe these complexity features from a dual perspective. Using recent results on SYK we compute a lower bound to the computational cost growth in SYK at infinite temperature. At intermediate times it is controlled by the Lyapunov exponent, while at long times it saturates to a linear growth, as expected from the gravity description.
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