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

Recent years have witnessed an explosion of interest in quantum devices for the production,
storage, and transfer of energy. This Colloquium concentrates on the field of quantum …

Driven by the rapid progress in quantum hardware, recent years have witnessed a furious
race for quantum technologies in both academia and industry. Universal quantum …

Quantum technology promises to revolutionize how we learn about the physical world. An
experiment that processes quantum data with a quantum computer could have substantial …

Integrated quantum photonics uses classical integrated photonic technologies and devices
for quantum applications. As in classical photonics, chip-scale integration has become …

Scalable generation of genuine multipartite entanglement with an increasing number of
qubits is important for both fundamental interest and practical use in quantum-information …

The standard quantum limit bounds the precision of measurements that can be achieved by
ensembles of uncorrelated particles. Fundamentally, this limit arises from the non …

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

Motivated by far-reaching applications ranging from quantum simulations of complex
processes in physics and chemistry to quantum information processing, a broad effort is …

Nanophotonics offers opportunities for engineering and exploiting the quantum properties of
light by integrating quantum emitters into nanostructures, and offering reliable paths to …