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Investigation of synthetic gauge fields in two analog simulation platforms
Velkovsky, Ivan
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https://hdl.handle.net/2142/125631
Description
- Title
- Investigation of synthetic gauge fields in two analog simulation platforms
- Author(s)
- Velkovsky, Ivan
- Issue Date
- 2024-07-15
- Director of Research (if dissertation) or Advisor (if thesis)
- Gadway, Bryce
- Doctoral Committee Chair(s)
- Covey, Jacob
- Committee Member(s)
- Vishveshwara, Smitha
- Gollin, George
- Department of Study
- Physics
- Discipline
- Physics
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- Ph.D.
- Degree Level
- Dissertation
- Keyword(s)
- Gauge fields
- Quantum simulation
- Analog simulation
- Rydberg atoms
- Optical tweezers
- Electromechanics
- Abstract
- Gauge fields are a fundamental aspect of much of current physics, being foundational to particle physics as well as playing a large role in our understanding of collective topological phenomena in condensed matter systems. One method of studying gauge field models is through direct engineering and observation of their behavior in a controllable test system. Using this methodology, which in this text I call "analog simulation", we can probe specific regimes of models of interest allowing for detailed study of their properties. Here I present my work on two analog simulation platforms: one based on single neutral Rydberg atoms in optical tweezers, and the second on feedback-coupled mechanical oscillators. I describe my contributions to these experiments as well as the particulars of how we use them to implement our simulations. Then, I show the results of several different experiments on these two platforms, probing both Abelian and non-Abelian gauge field models in a variety of conditions (non-linear interactions, non-reciprocal lattices, and strong entangling dipolar exchange interactions). Finally, I remark on the power and future outlook of the experimental platforms.
- Graduation Semester
- 2024-08
- Type of Resource
- Thesis
- Handle URL
- https://hdl.handle.net/2142/125631
- Copyright and License Information
- Copyright 2024 Ivan Velkovsky
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