On Lattices, Learning with Errors, Random Linear Codes ...
m, for any other word s0, the Hamming distance of t from Qs0 is roughly m(1 ¡ 1=p). Hence, we obtain that approximating the nearest codeword problem to within factors smaller than (1 ¡ 1=p)=(1 ¡ 1=(fip)) on random codes is as hard as quantumly approximating worst-case lattice problems. This gives a partial
With, Learning, Problem, Words, Errors, Learning with errors
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Tunnel, Balance, Chain, Detailed, Markov, Markov chain, Detailed balance
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