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Quantum Computing for Dispersion Bands of Phononic Crystals

ORAL

Abstract

Investigating the vibro-elastic dispersion relations of architected materials presents a significant challenge due to the complex interplay between the material's microstructure, inherent physical properties, and wave propagation characteristics. Leveraging on the rapidly growing power of quantum computing, we employ quantum algorithms that are tailored to Noisy Intermediate-scale Quantum (NISQ) specifications to calculate band structures of elastic waves. We demonstrate predictions of dispersion bands with the adaptive penalty and adaptive ansätze enhanced Variational Quantum Deflation (VQD) algorithm for selected architected materials, including square and triangular phononic crystals. Our study shows that the Dual-Adapt method is able to enhance prediction performance for multiple high-frequency excited states. This research prepares the metamaterial research community for the upcoming era of quantum computing.

Publication: Yunya Liu, Sharat Paul, Pai Wang, Quantum Computing for Dispersion Bands of Phononic Crystals. Planned submission to PRX Quantum, targeting mid-2024.

Presenters

  • Yunya Liu

    University of Utah

Authors

  • Yunya Liu

    University of Utah

  • Sharat Chandra Chandra Paul

    University of Utah

  • Pai Wang

    University of Utah