Coded trace reconstruction in a constant number of traces

08/12/2019
by   Joshua Brakensiek, et al.
0

The coded trace reconstruction problem asks to construct a code C⊂{0,1}^n such that any x∈ C is recoverable from independent outputs ("traces") of x from a binary deletion channel (BDC). We present binary codes of rate 1-ε that are efficiently recoverable from (O_q(log^1/3(1/ε))) (a constant independent of n) traces of a BDC_q for any constant deletion probability q∈(0,1). We also show that, for rate 1-ε binary codes, Ω̃(log^5/2(1/ε)) traces are required. The results follow from a pair of black-box reductions that show that average-case trace reconstruction is essentially equivalent to coded trace reconstruction. We also show that there exist codes of rate 1-ε over an O_ε(1)-sized alphabet that are recoverable from O(log(1/ε)) traces, and that this is tight.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro