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: "noise thresholds for amplification quantum foundations from classical fault tolerant computation"
  Abstract: It has long been known that certain superquantum nonlocal correlations collapse communication complexity, and it is conjectured that a statement like "communication complexity is not trivial" may provide an intuitive information-theoretic axiom for quantum mechanics. With the goal of addressing this conjecture, we take aim at collapsing communication complexity using weaker nonlocal correlations, and present a no-go theorem for a broad class of approaches. To achieve this, we investigate fault-tolerant computation by noisy circuits in a new light. Our main technical result is that, perhaps surprisingly, noiseless XOR gates are not more helpful than noisy ones in read-once formulas that have noisy AND gates for the task of building amplifiers. We also formalize a connection between fault-tolerant computation and amplification, and highlight new directions and open questions in fault-tolerant computation with noisy circuits. Our results inform the relationship between superquantum nonlocality and the collapse of communication complexity.

Connected through hyperedge HE-1 (induced by source paper "broadcasting on random directed acyclic graphs"):
  with members:
    - "reliable computation by formulas of noisy and gates and noiseless xor gates with applications to quantum mechanics"
    - "strong data processing inequalities for channels and bayesian networks"
    - "dissipation of information in channels with input constraints"
    - "reconstruction and clustering in random constraint satisfaction problems"
    - "noise threshold for universality of 2 input gates"

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.IT(Information Theory)