Promotionsvortrag Physik: “Automated discovery of better quantum machines”

Ankündigung des Promotionsvortrags von: Herrn Jonas Landgraf

Human intelligence is associated with the ability to perform complex reasoning, find creative solu-tions to problems, and discover and generalize patterns. Ambitiously, the field of artificial intelli-gence (AI) aims to enable computer systems to acquire such abilities and has experienced re-markable progress in recent years. Leveraging these advances for scientific research has the potential to accelerate progress and achieve milestones previously unreachable. In this thesis, we develop and adapt new tools based on AI and numerical optimization to address several chal-lenges in quantum information processing.

In particular, we implement a sub-microsecond-latency neural network for the control of a super-conducting circuit experiment. This neural network is capable of interacting with the quantum ex-periment in real-time, so on time scales much shorter than the system’s coherence time. Using reinforcement learning, we train the network exclusively from measurements and show that it can efficiently initialize a superconducting transmon.

Furthermore, we develop an algorithm to automatically discover new design schemes for signal-processing devices. Our algorithm optimizes the discrete and continuous system parameters to achieve the desired target behavior with the minimum required resources. By using an abstract graph representation, the discovered setups can be interpreted easily, leading to multiple gener-alizations. Our design concepts are transferable and can be implemented on a variety of hardware platforms, including photonic, microwave, and optomechanical systems. In the last part of the talk, we demonstrate how to extend these concepts to discover lattice models comprising a periodic structure.

(Vortrag auf Englisch)

Dem Vortrag schließt sich eine Diskussion von 15 Minuten an. Vortrag und Diskussion sind öffentlich. Diesen Verfahrensteilen folgt ein nicht öffentliches Rigorosum von 45 Minuten.