Semiconductor quantum systems

Quantum technologies need photonics for scaling. This is true even for "non-photonic" quantum systems based on superconductors, or trapped atoms and ions in vacuum. For example, new types of spatial light modulators and switches are needed to trap and control atoms and ions, microwave to optical quantum transducers are needed for networking superconducting processors, chip-scale laser systems are required for controlling atoms or spin qubits in solids, and very high efficiency integrated photonics is needed for quantum networks, sensors, and chip-based semiconductor quantum systems. Unfortunately, these photonics functionalities and performances are not available even in today's best integrated photonic systems. We show how inverse design (which combines AI hardware with new types of physics solvers) can lead to much better photonics designs, and how emerging photonic materials combined with new nanofabrication and heterogenous integration can lead to desired performances. Specific examples include development of quantum network nodes in diamond, quantum simulator with silicon carbide color centers, as well as classical photonic technologies for quantum systems, such as miniaturized titanium:sapphire lasers on chip, and strontium titanate switches and transducers.