@article {1922, title = {Quantum algorithm for multivariate polynomial interpolation}, journal = {Proceedings of The Royal Society A}, volume = {474}, year = {2018}, month = {2018/01/17}, abstract = {
How many quantum queries are required to determine the coefficients of a degree-d polynomial in n variables? We present and analyze quantum algorithms for this multivariate polynomial interpolation problem over the fields Fq, R, and C. We show that kC and 2kC queries suffice to achieve probability 1 for C and R, respectively, where kC = \⌈ 1 n+1 ( n+d d )\⌉ except for d = 2 and four other special cases. For Fq, we show that \⌈ d n+d ( n+d d )\⌉ queries suffice to achieve probability approaching 1 for large field order q. The classical query complexity of this problem is ( n+d d ), so our result provides a speedup by a factor of n + 1, n+1 2 , and n+d d for C, R, and Fq, respectively. Thus we find a much larger gap between classical and quantum algorithms than the univariate case, where the speedup is by a factor of 2. For the case of Fq, we conjecture that 2kC queries also suffice to achieve probability approaching 1 for large field order q, although we leave this as an open problem.
}, doi = {10.1098/rspa.2017.0480}, url = {http://rspa.royalsocietypublishing.org/content/474/2209/20170480}, author = {Jianxin Chen and Andrew M. Childs and Shih-Han Hung} }