Quantum algorithm for the Boolean hidden shift problem
Dmitry Gavinsky, Martin Roetteler, J\'er\'emie Roland

TL;DR
This paper introduces a quantum algorithm for the Boolean hidden shift problem that leverages Fourier analysis, demonstrating polynomial average-case quantum efficiency and exponential separation from classical methods.
Contribution
It presents a novel quantum algorithm for the Boolean hidden shift problem applicable to a broad class of functions, extending beyond cases reducible to hidden subgroup problems.
Findings
Quantum algorithm identifies hidden shifts efficiently for Boolean functions.
Average-case quantum complexity is polynomial, outperforming classical methods.
Exponential separation between quantum and classical complexities in the average case.
Abstract
The hidden shift problem is a natural place to look for new separations between classical and quantum models of computation. One advantage of this problem is its flexibility, since it can be defined for a whole range of functions and a whole range of underlying groups. In a way, this distinguishes it from the hidden subgroup problem where more stringent requirements about the existence of a periodic subgroup have to be made. And yet, the hidden shift problem proves to be rich enough to capture interesting features of problems of algebraic, geometric, and combinatorial flavor. We present a quantum algorithm to identify the hidden shift for any Boolean function. Using Fourier analysis for Boolean functions we relate the time and query complexity of the algorithm to an intrinsic property of the function, namely its minimum influence. We show that for randomly chosen functions the time…
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