Quantum Computing for Subatomic Physics: State of the Art, Challenges, and Prospects

By Pavel Lougovski

Oak Ridge National Laboratory, Oak Ridge, TN

Published on

Abstract

Simulations of complex many-body quantum phenomena present a formidable computational challenge. Quantum computing holds promise to drastically improve our simulations capabilities for many-body systems across all scientific domains. We discuss recent progress and challenges in quantum simulations of light nuclei (the deuteron 2H, the triton 3H, 3He, and the alpha particle 4He) and a prototypical quantum field theory---the Schwinger model---on a multitude of quantum hardware ranging from superconducting circuits to photonics. Our results illustrate the potential of quantum computers to augment classical computations in bridging the scales from quarks to nuclei.

Bio

Pavel Lougovski Pavel Lougovski is a researcher in the Quantum Information Science group at Oak Ridge National Lab. His work focuses on various aspects of quantum algorithm development for scientific computing with particular emphasis on algorithms for noisy intermediate-scale quantum hardware. He did his PhD at Max Planck Institute for Quantum Optics (Garching, Germany).

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Researchers should cite this work as follows:

  • Pavel Lougovski (2018), "Quantum Computing for Subatomic Physics: State of the Art, Challenges, and Prospects," http://nanohub.org/resources/29365.

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EE 118, Purdue University, West Lafayette, IN