At the intersection of machine learning and quantum computing, quantum machine learning
has the potential of accelerating data analysis, especially for quantum data, with …

Key static and dynamic properties of matter—from creation in the Big Bang to evolution into
subatomic and astrophysical environments—arise from the underlying fundamental …

Many-particle entanglement is a key resource for achieving the fundamental precision limits
of a quantum sensor. Optical atomic clocks, the current state of the art in frequency precision …

Neutral-atom arrays trapped in optical potentials are a powerful platform for studying
quantum physics, combining precise single-particle control and detection with a range of …

Atomic, molecular, and optical (AMO) physics has been at the forefront of the development of
quantum science while laying the foundation for modern technology. With the growing …

The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

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 …

Building scalable quantum systems that demonstrate performance enhancement based on
entanglement is a major goal in quantum computing and metrology. The main challenge …

The control over quantum states in atomic systems has led to the most precise optical atomic
clocks so far,–. Their sensitivity is bounded at present by the standard quantum limit, a …

Quantum sensors are an established technology that has created new opportunities for
precision sensing across the breadth of science. Using entanglement for quantum …