Randomized LOCAL algorithm computes 2-ruling sets in O(log log n) rounds w.h.p. on graphs with arboricity O(log log n), nearly matching lower bounds and exponentially improving prior combinations of results.
and Nirkhe, Chinmay , title =
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A randomized algorithm maintains O(Δ / ln Δ) coloring of dynamically changing triangle-free graphs with amortized Δ^{o(1)} log n update time per edge update against an adaptive adversary.
Any n-qubit QC Hamiltonian sparsifies to Õ(n/ε²) terms preserving all state energies within 1±ε using invariant subspace decomposition and the Alon-Kozma operator inequality.
Faster quantum algorithm outputs a state whose energy is at most the minimum energy among all depth-d circuits applied to |0>, plus an energy estimate, for k-local Hamiltonians.
Every class with Gaussian surface area at most Gamma admits degree O-tilde(Gamma squared over epsilon squared) non-negative L1-approximating polynomials for its indicators under the standard Gaussian.
citing papers explorer
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Near-Optimal Distributed 2-Ruling Sets on Graphs with Low Arboricity
Randomized LOCAL algorithm computes 2-ruling sets in O(log log n) rounds w.h.p. on graphs with arboricity O(log log n), nearly matching lower bounds and exponentially improving prior combinations of results.
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Fully Dynamic Algorithms for Coloring Triangle-Free Graphs
A randomized algorithm maintains O(Δ / ln Δ) coloring of dynamically changing triangle-free graphs with amortized Δ^{o(1)} log n update time per edge update against an adaptive adversary.
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Quantum Cut Sparsifiers
Any n-qubit QC Hamiltonian sparsifies to Õ(n/ε²) terms preserving all state energies within 1±ε using invariant subspace decomposition and the Alon-Kozma operator inequality.
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An Entropy-Governed Speedup for Quantum Algorithms on Local Hamiltonians
Faster quantum algorithm outputs a state whose energy is at most the minimum energy among all depth-d circuits applied to |0>, plus an energy estimate, for k-local Hamiltonians.
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A Note on Non-Negative $L_1$-Approximating Polynomials
Every class with Gaussian surface area at most Gamma admits degree O-tilde(Gamma squared over epsilon squared) non-negative L1-approximating polynomials for its indicators under the standard Gaussian.