human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "bounds for small error and zero error quantum algorithms"
  Abstract: We present a number of results related to quantum algorithms with small error probability and quantum algorithms that are zero-error. First, we give a tight analysis of the trade-offs between the number of queries of quantum search algorithms, their error probability, the size of the search space, and the number of solutions in this space. Using this, we deduce new lower and upper bounds for quantum versions of amplification problems. Next, we establish nearly optimal quantum-classical separations for the query complexity of monotone functions in the zero-error model (where our quantum zero-error model is defined so as to be robust when the quantum gates are noisy). Also, we present a communication complexity problem related to a total function for which there is a quantum-classical communication complexity gap in the zero-error model. Finally, we prove separations for monotone graph properties in the zero-error and other error models which imply that the evasiveness conjecture for such properties does not hold for quantum computers.

Connected through hyperedge HE-1 (induced by source paper "an investigation on support vector clustering for big data in quantum paradigm"):
  with members:
    - "an all pair quantum svm approach for big data multiclass classification"

Connected through hyperedge HE-2 (induced by source paper "vanishing error approximate degree and qma complexity"):
  with members:
    - "on the power of statistical zero knowledge"
    - "hardness amplification and the approximate degree of constant depth circuits"
    - "on arthur merlin games in communication complexity"
    - "quantum arthur merlin games"

Connected through hyperedge HE-3 (induced by source paper "big data quantum support vector clustering"):
  with members:
    - "gaussian kernel in quantum paradigm"

Connected through hyperedge HE-4 (induced by source paper "crossing the logarithmic barrier for dynamic boolean data structure lower bounds"):
  with members:
    - "amortized dynamic cell probe lower bounds from four party communication"
    - "new unconditional hardness results for dynamic and online problems"
    - "the cell probe complexity of dynamic range counting"
    - "lower bounds on near neighbor search via metric expansion"
    - "logarithmic lower bounds in the cell probe model"

Connected through hyperedge HE-5 (induced by source paper "quantum query complexity of subgraph isomorphism and homomorphism"):
  with members:
    - "a super grover separation between randomized and quantum query complexities"
    - "every decision tree has an influential variable"

Connected through hyperedge HE-6 (induced by source paper "potential of quantum finite automata with exact acceptance"):
  with members:
    - "power of the interactive proof systems with verifiers modeled by semi quantum two way finite automata"
    - "very narrow quantum obdds and width hierarchies for classical obdds"
    - "from quantum query complexity to state complexity"
    - "exact quantum algorithms have advantage for almost all boolean functions"
    - "classical automata on promise problems"
    - "on the state complexity of semi quantum finite automata"
    - "superiority of exact quantum automata for promise problems"
    - "unbounded error quantum computation with small space bounds"

Connected through hyperedge HE-7 (induced by source paper "on the sum of l1 influences"):
  with members:
    - "optimal bounds on approximation of submodular and xos functions by juntas"

Connected through hyperedge HE-8 (induced by source paper "superiority of exact quantum automata for promise problems"):
  with members:
    - "unbounded error quantum computation with small space bounds"

Question: Please tell me which class the center node 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.CC(Computational Complexity)