Quantum computing (QC) introduces a novel mode of computation with the possibility of
greater computational power that remains to be exploited—presenting exciting opportunities …

The scaling barriers currently faced by both quantum networking and quantum computing
technologies ultimately amount to the same core challenge of distributing high-quality …

Quantum computers process information with the laws of quantum mechanics. Current
quantum hardware is noisy, can only store information for a short time and is limited to a few …

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 …

Quantum computers pose a significant threat to blockchain technology's security, which
heavily relies on public-key cryptography and hash functions. The cryptographic algorithms …

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

Variational quantum algorithms, inspired by neural networks, have become a novel
approach in quantum computing. However, designing efficient parameterized quantum …

Distributed quantum computing, particularly distributed quantum machine learning, has
gained substantial prominence for its capacity to harness the collective power of distributed …

Linear computations over quantum many-to-one communication networks offer opportunities
for communication cost improvements through schemes that exploit quantum entanglement …

We consider multipath generation of Bell states in quantum networks, where a preprepared
multipartite entangled two-dimensional cluster state serves as a resource to perform different …