Trace reconstruction with $\exp( O( n^{1/3} ) )$ samples
December 12, 2016 Β· Declared Dead Β· π Symposium on the Theory of Computing
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Authors
Fedor Nazarov, Yuval Peres
arXiv ID
1612.03599
Category
math.PR
Cross-listed
cs.IT,
math.ST
Citations
75
Venue
Symposium on the Theory of Computing
Last Checked
3 months ago
Abstract
In the trace reconstruction problem, an unknown bit string $x \in \{0,1\}^n$ is observed through the deletion channel, which deletes each bit of $x$ with some constant probability $q$, yielding a contracted string $\widetilde{x}$. How many independent copies of $\widetilde{x}$ are needed to reconstruct $x$ with high probability? Prior to this work, the best upper bound, due to Holenstein, Mitzenmacher, Panigrahy, and Wieder (2008), was $\exp(\widetilde{O}(n^{1/2}))$. We improve this bound to $\exp(O(n^{1/3}))$ using statistics of individual bits in the output and show that this bound is sharp in the restricted model where this is the only information used. Our method, that uses elementary complex analysis, can also handle insertions.
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