Efficiently map** quantum circuits onto hardware is integral for the quantum compilation
process, wherein a circuit is modified in accordance with a quantum processor's …

We develop a theory based on quasi-geometric (QG) approach to transform a small number
of qubits into a larger number of error-correcting qubits by considering four different cases …

Quantum Graph Neural Networks (QGNNs) represent a novel fusion of quantum computing
and Graph Neural Networks (GNNs), aimed at overcoming the computational and scalability …

With the growth of quantum platforms for gate-based quantum computation, compilation
holds a crucial factor in deciding the success of the implementation. There has been rich …

Quantum architecture search (QAS) represents a fundamental challenge in quantum
machine learning, with SOTA methods primarily categorized into training-free and gradient …

Quantum computers have the potential of offering superpolynomial speedup for a restricted
set of algorithms which cannot be efficiently executed on classical machines. The reliable …

The use of computational technologies by nation States and other actors for offensive and
defensive purposes represents a major element of international strategic relations. Quantum …