Photonic integrated solid-state lasers for scalable quantum systems

Currently, quantum computers based on trapped-ion and cold-atom modalities are scaling to higher qubit numbers. Since these qubits require optical control with high-performance laser systems, this also demands a scaling of the laser systems, which is not feasible with current tabletop setups. Low-cost and compact laser systems are therefore needed, while still matching the performance of today’s top free-space laser systems. Realizing chip-scale laser systems with the performance of bulky free-space laser systems will enable scaling to thousands to hundreds of thousands of qubits and the realization of a fully functional quantum computer.

The ideal way to realize compact and low-cost laser systems is through photonic integrated circuits (PICs), which also enable reproducible mass manufacturing. PICs have already revolutionized telecommunications by combining optical filtering, modulation, and even semiconductor laser diodes on a single chip made using CMOS fabrication tools, with production reaching millions of chips per year. However, high-performance lasers on a photonic chip are still missing, and therefore the realization of high-performance laser systems for quantum computing remains an open challenge.

In this research project, the student will develop novel gain materials for integration on PICs that will enable the realization of mass-scalable high-performance laser systems. Several approaches will be investigated, such as the implantation of rare earth and transition metal ions in existing photonic integrated circuits, as well as the deposition of doped oxides on existing photonic platforms.

The PhD will be focused on the simulation (25%), fabrication (40%) and experimental characterization (35%) of novel on-chip laser systems. Fabrication of those devices will take place both in the UGent and imec cleanrooms. Characterization will happen using the extensive optical labs with specialized setups for the in-depth characterization of photonic laser systems.

For more information, please contact

Kasper.VanGasse@UGent.be

Basic knowledge of the following is a plus but not a requirement:

• Python programming
• Device simulators for photonics (Lumerical FDTD/MODE, COMSOL)
• Semiconductor manufacturing processes for photonics