human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "runtime analysis of quantum programs a formal approach"):
  Abstract: In this extended abstract we provide a first step towards a tool to estimate the resource consumption of programs. We specifically focus on the runtime analysis of programs and, inspired by recent methods for probabilistic programs, we develop a calculus a la weakest precondition to formally and systematically derive the (exact) runtime of quantum programs. Notably, the calculus admits a notion of loop runtime invariant that can be readily used to derive upper bounds of their runtime. To conclude, we show the applicability of our calculus analyzing the runtime of an algorithm based on the BB84 quantum key distribution protocol.

Includes members:
  Member "expected runtime of quantum programs":
    also connected through other hyperedges:
      (none)
  Member "weakest precondition reasoning for expected run times of probabilistic programs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "exponential automatic amortized resource analysis")
  Member "reasoning about recursive probabilistic programs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "tail bound analysis for probabilistic programs via central moments")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.LO(Logic in Computer Science)