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Expansion testing aims to decide whether an $n$-node graph has expansion at least $Phi$, or is far from any such graph. We propose a quantum expansion tester with complexity $widetilde{O}(n^{1/3}Phi^{-1})$. This accelerates the $widetilde{O}(n^{1/2}Phi^{-2})$ classical tester by Goldreich and Ron [Algorithmica 02], and combines the $widetilde{O}(n^{1/3}Phi^{-2})$ and $widetilde{O}(n^{1/2}Phi^{-1})$ quantum speedups by Ambainis, Childs and Liu [RANDOM 11] and Apers and Sarlette [QIC 19], respectively. The latter approach builds on a quantum fast-forwarding scheme, which we improve upon by initially growing a seed set in the graph. To grow this seed set we use a so-called evolving set process from the graph clustering literature, which allows to grow an appropriately local seed set.
This work describes a new algorithm for creating a superposition over the edge set of a graph, encoding a quantum sample of the random walk stationary distribution. The algorithm requires a number of quantum walk steps scaling as $widetilde{O}(m^{1/3
We introduce a new tool for quantum algorithms called quantum fast-forwarding (QFF). The tool uses quantum walks as a means to quadratically fast-forward a reversible Markov chain. More specifically, with $P$ the Markov chain transition matrix and $D
Symmetry is a unifying concept in physics. In quantum information and beyond, it is known that quantum states possessing symmetry are not useful for certain information-processing tasks. For example, states that commute with a Hamiltonian realizing a
We present methods for implementing arbitrary permutations of qubits under interaction constraints. Our protocols make use of previous methods for rapidly reversing the order of qubits along a path. Given nearest-neighbor interactions on a path of le
We propose a new quantum numerical scheme to control the dynamics of a quantum walker in a two dimensional space-time grid. More specifically, we show how, introducing a quantum memory for each of the spatial grid, this result can be achieved simply