Quantum computers offer an intriguing path for a paradigmatic change of computing in the
natural sciences and beyond, with the potential for achieving a so-called quantum …

Classical simulation of quantum dynamics plays an important role in our understanding of
quantum complexity, and in the development of quantum technologies. Compared to other …

The barren plateau phenomenon, characterized by loss gradients that vanish exponentially
with system size, poses a challenge to scaling variational quantum algorithms. Here we …

Much attention has been paid to dynamical simulation and quantum machine learning
(QML) independently as applications for quantum advantage, while the possibility of using …

The barren plateau phenomenon, characterized by loss gradients that vanish exponentially
with system size, poses a challenge to scaling variational quantum algorithms. Here we …

Owing to the computational complexity of electronic structure algorithms running on classical
digital computers, the range of molecular systems amenable to simulation remains tightly …

Recent developments in quantum hardware and quantum algorithms have made it possible
to utilize the capabilities of current noisy intermediate-scale quantum devices for addressing …

The use of geometric and symmetry techniques in quantum and classical information
processing has a long tradition across the physical sciences as a means of theoretical …

Computation of the Green's function is crucial to study the properties of quantum many-body
systems such as strongly correlated systems. Although the high-precision calculation of the …

Quantum simulation advantage over classical memory limitations would allow compact
quantum circuits to yield insight into intractable quantum many-body problems. But the …