Quantum simulators: from the Fermi Hubbard model to quantum assisted NMR inference

Prof. Eugene Demler, Harvard University, Dept. of Physics

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I will review recent progress of the optical lattice emulators of the Fermi Hubbard model. The new feature of these experiments is availability of snapshots of many-body states with single particle resolution. I will discuss new insight from these experiments on the properties of magnetic polarons in antiferromagnetic Mott insulators. I will also discuss the idea of combining quantum simulators with machine learning to perform inference of NMR spectra for small biological molecules. Practical aspects of realizing this hybrid quantum-classical algorithm on currently available experimental platforms will be reviewed.

Prof. Demler’s research focus has been developing general theoretical tools for understanding the effects of interactions, and establishing a common framework for understanding the physics of strongly correlated systems. His research has addressed various properties of high temperature superconductors, heavy fermion and organic superconductors, quantum Hall systems, and quantum antiferromagnets.

This talk is part of an ongoing series of talks by US and Australian researchers presenting novel developments in condensed matter and cold atomic physics, enriching connections between the two physics communities. Co-presented by FLEET, Monash School of Physics and Astronomy, and the Joint Quantum Institute.