We study the phase discrimination problem, in which we want to decide whether
the eigenphase $\theta\in(-\pi,\pi]$ of a given eigenstate $|\psi\rangle$ with
eigenvalue $e^{i\theta}$ is zero or not, using applications of the unitary $U$
provided as a black box oracle.We propose a quantum algorithm named {\it
quantum phase discrimination(QPD)} for this task, with optimal query complexity
$\Theta(\frac{1}{\Lambda}\log\frac{1}{\delta})$ to the oracle $U$, where
$\lambda$ is the gap between zero and non-zero eigenphases and $\delta$ the
allowed one-sided error. The quantum circuit is simple, consisting of only one
ancillary qubit and a sequence of controlled-$U$ interleaved with single qubit
$Y$ rotations, whose angles are given by a simple analytical formula. Quantum
phase discrimination could become a fundamental subroutine in other quantum
algorithms, as we present two applications to quantum search on graphs:
i) Spatial search on graphs. Inspired by the structure of QPD, we propose a
new quantum walk model, and based on them we tackle the spatial search problem,
obtaining a novel quantum search algorithm. For any graph with any number of
marked vertices, the quantum algorithm that can find a marked vertex with
probability $\Omega(1)$ in total evolution time $ O(\frac{1}{\Lambda
\sqrt{\varepsilon}})$ and query complexity $ O(\frac{1}{\sqrt{\varepsilon}})$,
where $\lambda$ is the gap between the zero and non-zero eigenvalues of the
graph Laplacian and $\varepsilon$ is a lower bound on the proportion of marked
vertices.
ii) Path-finding on graphs.} By using QPD, we reduce the query complexity of
a path-finding algorithm proposed by Li and Zur [arxiv: 2311.07372] from
$\tilde{O}(n^{11})$ to $\tilde{O}(n^8)$, in a welded-tree circuit graph with
$\Theta(n2^n)$ vertices.
Besides these two applications, we argue that more quantum algorithms might
benefit from QPD.

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