The classical random walk formalism plays an important role in a wide range of applications.
Its quantum counterpart, the quantum walk, is proposed as an important theoretical model …

Applications of quantum walks can depend on the number, exchange symmetry and
indistinguishability of the particles involved, and the underlying graph structures where they …

Quantum image processing has been a hot issue in the last decade. However, the lack of
the quantum feature extraction method leads to the limitation of quantum image …

Cloud computing is considerably investigable and adoptable in both industry and academia,
and Software Defined Networking (SDN) has been applied in cloud computing. Although …

Recent neural networks designed to operate on graph-structured data have proven effective
in many domains. These graph neural networks often diffuse information using the spatial …

In recent years, neural network architectures designed to operate on graph-structured data
have pushed the state-of-the-art in the field. A large set of these architectures utilize a form of …

Classical optics can be used to efficiently implement certain quantum information processing
tasks with a high degree of control, for example, one-dimensional quantum walks through …

Quantum walks on graphs can model physical processes and serve as efficient tools in
quantum information theory. Once we admit random variations in the connectivity of the …

We study the time evolution of continuous-time quantum walks on randomly changing
graphs. At certain moments, edges of the graph appear or disappear with a given …

In this paper, we propose a new algorithm based on a quantum walk search model to
distinguish strongly similar graphs. Our algorithm computes a signature for each graph via …