Quantum optimal control, a toolbox for devising and implementing the shapes of external
fields that accomplish given tasks in the operation of a quantum device in the best way …

Abstract Variational Quantum Algorithms (VQAs) have received considerable attention due
to their potential for achieving near-term quantum advantage. However, more work is …

This review investigates the landscapes of hybrid quantum–classical optimization algorithms
that are prevalent in many rapidly developing quantum technologies, where the objective …

The last decade has witnessed remarkable progress in the development of quantum
technologies. Although fault-tolerant devices likely remain years away, the noisy …

The performance of variational quantum algorithms relies on the success of using quantum
and classical computing resources in tandem. Here, we study how these quantum and …

The prospect of using quantum computers to solve combinatorial optimization problems via
the quantum approximate optimization algorithm (QAOA) has attracted considerable interest …

Fusing the ideas of bidirectional hybrid controlled quantum communication and quantum
network coding, we put forward a protocol for implementing butterfly network coding by …

Quantum state tomography (QST) is the process of reconstructing the state of a quantum
system (mathematically described as a density matrix) through a series of different …

Quantum device characterization via state tomography plays an important role in both
validating quantum hardware and processing quantum information, but it needs the …

We propose Hamiltonian quantum generative adversarial networks (HQuGANs) to learn to
generate unknown input quantum states using two competing quantum optimal controls. The …