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Improving wave-based analog computing through quantum material platforms and optical control schemes

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Abstract

In the post-Moore's Law era, establishing a viable path forward for computing is a key national strategic objective. Wave-based analog computing, utilizing light and spin waves, has emerged as a promising approach due to its large bandwidth, spatial parallelism, and multiple degrees of freedom offered by both amplitude and phase. To bridge the significant gap between state-of-the-art wave-based computing and electronic computers, in this talk I will present recent advancements in ultrafast optical gates and sensitive imaging systems. I will focus on two primary methods for real-time all-optical programming of optical circuits built on strongly-correlated materials: charge-excitation-based and heat-free Floquet techniques. Additionally, I will introduce a novel microwave-based scanning probe microscope capable of discerning nanoscale waves, such as nanomagnons, travelling in materials. These developments represent crucial steps towards realizing the potential of wave-based computing in the next generation of information processing systems.

Publication: 1. Jun-Yi Shan, M. Ye, H. Chu, Sungmin Lee, Je-Geun Park, L. Balents, and D. Hsieh, "Giant modulation of optical nonlinearity by Floquet engineering," Nature 600, 235 (2021).<br>2. Jun-Yi Shan, Nathaniel Morrison, Su-Di Chen, Feng Wang, and Eric Y. Ma, "Johnson-noise-limited cancellation-free microwave impedance microscopy with monolithic silicon cantilever probes," Nat. Commun. 15, 5043 (2024).<br>3. Jun-Yi Shan, Jonathan B. Curtis, Chang Jae Roh, C. R. Rotundu, Young S. Lee, Prineha Narang, Tae Won Noh, Eugene Demler, and D. Hsieh, "Dynamic magnetic phase transition induced by parametric magnon pumping," Phys. Rev. B 109, 054302 (2024).

Presenters

  • Jun-Yi Shan

    University of California, Berkeley

Authors

  • Jun-Yi Shan

    University of California, Berkeley