Quantum random sampling is the leading proposal for demonstrating a computational
advantage of quantum computers over classical computers. Recently the first large-scale …

Spectroscopy is one of the most accurate probes of the molecular world. However,
predicting molecular spectra accurately is computationally difficult because of the presence …

In order to characterize and benchmark computational hardware, software, and algorithms, it
is essential to have many problem instances on-hand. This is no less true for quantum …

Although molecular vibronic spectra generation is pivotal for chemical analysis, tackling
such exponentially complex tasks on classical computers remains inefficient. Quantum …

Quantum computing has grown extensively, especially in system design and development,
and the current research focus has gradually evolved from validating quantum advantage to …

We present a quantum-inspired classical algorithm that can be used for graph-theoretical
problems, such as finding the densest k subgraph and finding the maximum weight clique …

Plausible claims for quantum advantage have been made using sampling problems such as
random circuit sampling in superconducting qubit devices, and Gaussian boson sampling in …

Bosonic quantum devices, which utilize harmonic oscillator modes to encode information,
are emerging as a promising alternative to conventional qubit-based quantum devices …

Computations of chemical systems' equilibrium properties and non-equilibrium dynamics
have been suspected of being a" killer app" for quantum computers. This review highlights …

Response theory has a successful history of connecting experimental observations with
theoretical predictions. Of particular interest is the optical response of matter, from which …