Xufeng Zhang – Argonne National Laboratory
Advancing quantum information science with hybrid cavity magnonics
Hybrid magnonics has been attracting intensive attention in the past few years. With a focus on the interaction between magnons – quantized collective spin excitations – and other types of information carriers, hybrid magnonics is recognized as a promising candidate for interconnecting different quantum platforms, hence holds great potentials towards developing distributed quantum networks for comprehensive quantum information processing. In this talk, I will review our recent work on developing various hybrid magnonic systems and discuss their unique advantages. Specifically, cavity magnonics can be conveniently hybridized with other degrees of freedom operating in the microwave, mechanical and optical domains because of its exceptional compatibilities. Thanks to the large spin density in the magnonic system, the interactions between magnons and other information carriers (photons, phonons, etc.) are drastically boosted, providing elevated protection for the signal coherence. Therefore, high-fidelity magnon-based signal transduction can be achieved. Most importantly, the excellent tunability of magnons permits unparalleled signal manipulation. I will finish the talk by describing the perspectives for future integrated quantum magnonics.
Dr. Xufeng Zhang has been working as an assistant scientist at the Center for Nanoscale Materials, Argonne National Laboratory, and CASE fellow of the University of Chicago since 2018. Dr. Zhang received his Ph.D. in Engineering from Yale University in 2016, where he worked on hybrid magnonic devices in Prof. Hong Tang’s group. He is the winner of the Henry Prentiss Becton Graduate Prize for his exceptional graduate research at Yale University. After graduation he joined Argonne National Laboratory as the Nikola-Tesla postdoctoral fellow. His research interests include hybrid quantum devices, magnon spintronics, integrated photonics, nanomechanics, and high frequency devices.
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