New Approaches to Near-Term Quantum Optimization

Title: New Approaches to Near-Term Quantum Optimization
Date: Nov 11 2023 Saturday 13:00 - 15:00 EST

Abstract: In this talk, Jernej will present two new approaches to quantum optimization on near-term devices. Jernej will begin by proposing Bayesian optimization to efficiently design optimization protocols on analog devices, such as the QuEra neutral atom quantum processor (https://arxiv.org/abs/2305.13365). Next, Jernej will turn the attention to the newly introduced family Quantum-Informed Recursive Optimization (QIRO) algorithms (https://arxiv.org/abs/2308.13607). In QIRO, the optimization problem is recursively simplified by performing problem-specific update steps which are informed by correlations obtained from quantum devices. QIRO’s modular design provides the user with a novel toolbox to design hybrid optimization algorithms, as both the quantum and the classical parts of the algorithm can be easily augmented and tailored to the particular application.

Bio: Jernej Rudi Finžgar is a PhD student at the Technical University Munich and BMW researching quantum algorithms for combinatorial optimization. He holds a master degree in physics from LMU Munich.

Moderator: Pawel Gora, CEO of Quantum AI Foundation

Zoom link will be posted and emailed to registered participants no later than one hour prior to the event.