Hidden shift problem
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In quantum computing, the hidden shift problem is a type of oracle-based problem. Various versions of this problem have quantum algorithms which can run much more quickly than known non-quantum methods for the same problem. In its general form, it is equivalent to the hidden subgroup problem for the dihedral group.[1] It is a major open problem to understand how well quantum algorithms can perform for this task, as it can be applied to break lattice-based cryptography.[2][3]
Problem statement
[edit]The hidden shift problem states: Given an oracle that encodes two functions and , there is an -bit string for which for all . Find .[4]
Functions such as the Legendre symbol and bent functions, satisfy these constraints.[5]
Algorithms
[edit]With a quantum algorithm that is defined as , where is the Hadamard gate and is the Fourier transform of , certain instantiations of this problem can be solved in a polynomial number of queries to while taking exponential queries with a classical algorithm.
References
[edit]- ^ Childs, Andrew M.; van Dam, Wim (2007), "Quantum algorithm for a generalized hidden shift problem", in Bansal, Nikhil; Pruhs, Kirk; Stein, Clifford (eds.), Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007, New Orleans, Louisiana, USA, January 7-9, 2007, SIAM, pp. 1225–1232, arXiv:quant-ph/0507190
- ^ Lomont, Chris (November 4, 2004), The Hidden Subgroup Problem - Review and Open Problems, arXiv:quant-ph/0411037
- ^ Regev, Oded (January 2004). "Quantum Computation and Lattice Problems". SIAM Journal on Computing. 33 (3): 738–760. doi:10.1137/S0097539703440678. ISSN 0097-5397.
- ^ Dam, Wim van; Hallgren, Sean; Ip, Lawrence (2002). "Quantum Algorithms for some Hidden Shift Problems". SIAM Journal on Computing. 36 (3): 763–778. arXiv:quant-ph/0211140. doi:10.1137/S009753970343141X. S2CID 11122780.
- ^ Rötteler, Martin (2008). "Quantum algorithms for highly non-linear Boolean functions". Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms. Vol. 402. Society for Industrial and Applied Mathematics. pp. 448–457. arXiv:0811.3208. doi:10.1137/1.9781611973075.37. ISBN 978-0-89871-701-3. S2CID 9615826.