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

Rydberg atom arrays have emerged as a novel platform exhibiting rich quantum many-body
physics and offering promise for universal quantum computation. The Rydberg blockade …

Minimizing and understanding errors is critical for quantum science, both in noisy
intermediate scale quantum (NISQ) devices and for the quest towards fault-tolerant quantum …

Classical machine learning (ML) provides a potentially powerful approach to solving
challenging quantum many-body problems in physics and chemistry. However, the …

Enhancing the precision of measurements by harnessing entanglement is a long-sought
goal in quantum metrology,. Yet attaining the best sensitivity allowed by quantum theory in …

Synthesizing many-body quantum systems with various ranges of interactions facilitates the
study of quantum chaotic dynamics. Such extended interaction range can be enabled by …

We study the problem of observing quantum collective phenomena emerging from large
numbers of measurements. These phenomena are difficult to observe in conventional …

We report universal statistical properties displayed by ensembles of pure states that
naturally emerge in quantum many-body systems. Specifically, two classes of state …

Quantum systems have entered a competitive regime in which classical computers must
make approximations to represent highly entangled quantum states,. However, in this …

A fundamental principle of chaotic quantum dynamics is that local subsystems eventually
approach a thermal equilibrium state. The corresponding timescales increase with …