Quantum computing (QC) stands apart from traditional computing systems by employing
revolutionary techniques for processing information. It leverages the power of quantum bits …

Noisy Intermediate-Scale Quantum (NISQ) systems and associated programming interfaces
make it possible to explore and investigate the design and development of quantum …

Hamiltonian learning, as an important quantum machine learning technique, provides a
significant approach for determining an accurate quantum system. This paper establishes …

Quantum systems have an exponentially large degree of freedom in the number of particles
and hence provide a rich dynamics that could not be simulated on conventional computers …

With the birth of Noisy Intermediate Scale Quantum (NISQ) devices and the verification of"
quantum supremacy" in random number sampling and boson sampling, more and more …

With the rapid development of classical and quantum machine learning, a large number of
machine learning frameworks have been proposed. However, existing machine learning …

Variational quantum algorithms (VQAs) can train parameterized quantum circuits via
classical optimizers to find approximate solutions to some important problems. They can …

Variational quantum algorithms (VQAs) are considered as one of the most promising
candidates for achieving quantum advantages on quantum devices in the noisy intermediate …