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 …

Quantum computing stands at the precipice of technological revolution, promising
unprecedented computational capabilities to tackle some of humanity's most complex …

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

This PhD thesis combines two of the most exciting research areas of the last decades:
quantum computing and machine learning. We introduce dissipative quantum neural …

Graph structures are ubiquitous throughout the natural sciences. Here we develop an
approach that exploits the quantum source's graph structure to improve learning via an …

Entanglement is a key resource in many quantum information applications and achieving
high values independently of the initial conditions is an important task. Here we address the …

Quantum computing is emerging as a promising technology, which is built on the principles
of subatomic physics. In spite of the continuous progress in the development of increasingly …

Reliable application support is provided by quantum networks utilizing internal and
superposition service network topologies. To provide continuous accessibility, the …

Disorder in coined quantum walks generally leads to localization. We investigate the
influence of the localization on the entanglement properties of coined quantum walks …

Since quantum spatial searches on networks have a strong network dependence, the
question arises whether the universal perspective exists in this quantum algorithm for …