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Quantum many-body physics with classical and quantum algorithms
Luo, Di
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https://hdl.handle.net/2142/113947
Description
- Title
- Quantum many-body physics with classical and quantum algorithms
- Author(s)
- Luo, Di
- Issue Date
- 2021-08-27
- Director of Research (if dissertation) or Advisor (if thesis)
- Clark, Bryan K
- Doctoral Committee Chair(s)
- El-Khadra, Aida X
- Committee Member(s)
- DeMarco, Brian L
- Zhao, Zhizhen
- Department of Study
- Physics
- Discipline
- Physics
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- Ph.D.
- Degree Level
- Dissertation
- Keyword(s)
- condensed matter physics
- high energy physics
- quantum information science
- machine learning
- quantum algorithms
- Abstract
- The thesis is composed of three main topics involving research in condensed matter physics, high energy physics and quantum information science. The first component is the development of neural network quantum states for studying ground states and real time dynamics for condensed matter and high energy physics. Relevant work is presented in Chapter 2, 3, 4, 5. The second component is the development of a probabilistic formulation of quantum mechanics for the simulation of quantum circuit and open quantum system. Relevant work is presented in Chapter 6, 7. The third component is the development of quantum information science, which includes quantum dynamics, quantum simulation, quantum control and quantum measurement. Relevant work is presented in Chapter 8, 9, 10, 11.
- Graduation Semester
- 2021-12
- Type of Resource
- Thesis
- Permalink
- http://hdl.handle.net/2142/113947
- Copyright and License Information
- Copyright 2021 Di Luo
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Graduate Dissertations and Theses at Illinois PRIMARY
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