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Quantum speedups need structure

9 November 2019
Nathan Keller
Ohad Klein
ArXiv (abs)PDFHTML
Abstract

We prove the following conjecture, raised by Aaronson and Ambainis in 2008: Let f:{−1,1}n→[−1,1]f:\{-1,1\}^n \rightarrow [-1,1]f:{−1,1}n→[−1,1] be a multilinear polynomial of degree ddd. Then there exists a variable xix_ixi​ whose influence on fff is at least poly(Var(f)/d)\mathrm{poly}(\mathrm{Var}(f)/d)poly(Var(f)/d). As was shown by Aaronson and Ambainis, this result implies the following well-known conjecture on the power of quantum computing, dating back to 1999: Let QQQ be a quantum algorithm that makes TTT queries to a Boolean input and let ϵ,δ>0\epsilon,\delta > 0ϵ,δ>0. Then there exists a deterministic classical algorithm that makes poly(T,1/ϵ,1/δ)\mathrm{poly}(T,1/\epsilon,1/\delta)poly(T,1/ϵ,1/δ) queries to the input and that approximates QQQ's acceptance probability to within an additive error ϵ\epsilonϵ on a 1−δ1-\delta1−δ fraction of inputs. In other words, any quantum algorithm can be simulated on most inputs by a classical algorithm which is only polynomially slower, in terms of query complexity.

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