Nowadays, quantum computing has reached the engineering phase, with fully-functional
quantum processors integrating hundreds of noisy qubits. Yet–to fully unveil the potential of …

Practical distributed quantum computing requires the development of efficient compilers,
able to make quantum circuits compatible with some given hardware constraints. This …

For most practical applications, quantum algorithms require large resources in terms of qubit
number, much larger than those available with current noisy intermediate-scale quantum …

Distributed quantum computing (DQC) is a new paradigm aimed at scaling up quantum
computing via the interconnection of smaller quantum processing units (QPUs). Shared …

The emerging field of quantum computing has shown it might change how we process
information by using the unique principles of quantum mechanics. As researchers continue …

In this paper, a multi-layer hierarchical architecture is proposed for distributing quantum
computation. In a distributed quantum computing (DQC), different units or subsystems …

Scalability is currently one of the most sought-after objectives in the field of quantum
computing. Distributing a quantum circuit across a quantum network is one way to facilitate …

As quantum computation grows, the number of qubits involved in a given quantum computer
increases. But due to the physical limitations in the number of qubits of a single quantum …

This thesis treats networks providing quantum computation based on distributed paradigms.
Compared to architectures relying on one processor, a network promises to be more …

Due to the limitations of quantum device manufacturing technology, the number of qubits in
current quantum computing devices is still relatively limited. Distributed quantum computing …