Cross-entropy (XE) measure is a widely used benchmark to demonstrate quantum
computational advantage from sampling problems, such as random circuit sampling using …

Programmable unitary photonic devices are emerging as promising tools to implement
unitary transformation for quantum information processing, machine learning, and optical …

Efficient and precise photon-number-resolving detectors are essential for optical quantum
information science. Despite this, very few detectors have been able to distinguish photon …

The interference of nonclassical states of light enables quantum-enhanced applications
reaching from metrology to computation. Most commonly, the polarization or spatial location …

Programmable quantum simulators based on Rydberg atom arrays are a fast-emerging
quantum platform, bringing together long coherence times, high-fidelity operations, and …

Gaussian boson sampling, a computational model that is widely believed to admit quantum
supremacy, has already been experimentally demonstrated and is claimed to surpass the …

Trapped atomic ion crystals are a leading platform for quantum simulations of spin systems,
with programmable and long-range spin-spin interactions mediated by excitations of …

The quantification of the entanglement present in a physical system is of paramount
importance for fundamental research and many cutting-edge applications. Now, achieving …

Most existing results in the analysis of quantum reservoir computing (QRC) systems with
classical inputs have been obtained using the density matrix formalism. This paper shows …

Conspectus The intrinsic molecular order of liquid crystals (LCs) and liquid crystalline
elastomers (LCEs) is the origin of their stimuli-responsive properties. The programmable …