A central challenge in developing quantum computers and long-range quantum networks is
the distribution of entanglement across many individually controllable qubits 1 . Colour …

Deep neural networks (DNNs) are reshaping the field of information processing. With the
exponential growth of these DNNs challenging existing computing hardware, optical neural …

A central goal for quantum technologies is to develop platforms for precise and scalable
control of individually addressable artificial atoms with efficient optical interfaces. Color centers …

Harnessing the full complexity of optical fields requires the complete control of all degrees
of freedom within a region of space and time—an open goal for present-day spatial light …

Solid-state quantum emitters have emerged as a leading quantum memory for quantum
networking applications. However, standard optical characterization techniques are neither …

A quantum register coupled to a spin-photon interface is a key component in quantum
communication and information processing. Group-IV color centers in diamond ( Si V − , Ge V − , …

Artificial atoms in solids are leading candidates for quantum networks, scalable quantum
computing, and sensing, as they combine long-lived spins with mobile photonic qubits. Recently…

Solutions for scalable, high-performance optical control are important for the development of
scaled atom-based quantum technologies. Modulation of many individual optical beams is …

Generating entangled graph states of qubits requires high entanglement rates with efficient
detection of multiple indistinguishable photons from separate qubits. Integrating defect-…

Thin-Film Lithium Niobate is an emerging integrated photonic platform showing great promise
due to its large second-order nonlinearity at microwave and optical frequencies, cryogenic …