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
Date of Ingest
2022-04-29T21:42:52Z
Keyword(s)
condensed matter physics
high energy physics
quantum information science
machine learning
quantum algorithms
Language
eng
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.
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