Variational quantum algorithms offer fascinating prospects for the solution of combinatorial
optimization problems using digital quantum computers. However, the achievable …

Forward Error Correction (FEC) provides reliable data flow in wireless networks despite the
presence of noise and interference. However, its processing demands significant fraction of …

The Quantum Approximate Optimization Algorithm (QAOA) is one of the most promising
candidates for achieving quantum advantage over classical computers. However, existing …

Quantum computing has the potential to significantly enhance our ability to simulate and
solve complex, classically intractable problems across various fields of research and …

In this thesis, we are interested in the limits of quantum communication with and without
entanglement, and with and without noise assumptions on the communication setup. When …

In this paper, we propose an efficient compilation method for distributed quantum computing
(DQC) using the Linear Nearest Neighbor (LNN) architecture. By exploiting the LNN …

Abstract We introduce Quafu-Qcover, an open-source cloud-based software package
developed for solving combinatorial optimization problems using quantum simulators and …

Quantum computing (QC) is one of the major transformative technologies of our time. The
near-term quantum computers have a limited number of qubits (< 100), and they suffer from …