paper

Learning and Testing Algorithms for the Clifford Group

arXiv:0907.2833 · doi:10.1103/PhysRevA.80.052314

Abstract

Given oracle access to an unknown unitary C from the Clifford group and its conjugate, we give an exact algorithm for identifying C with O(n) queries, which we prove is optimal. We then extend this to all levels of the Gottesman-Chuang hierarchy (also known as the C_k hierarchy). Further, for unitaries not in the hierarchy itself but known to be close to an element of the hierarchy, we give a method of finding this close element. We also present a Clifford testing algorithm that decides whether a given black-box unitary is close to a Clifford or far from every Clifford.

7 pages

Learning and Testing Algorithms for the Clifford Group · wovepaper