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Optimization and Tensor Network Methods for Quantum Optics and Quantum Circuit Analysis.
Optimization and Tensor Network Methods for Quantum Optics and Quantum Circuit Analysis.
- 자료유형
- 학위논문
- Control Number
- 0017162983
- International Standard Book Number
- 9798384338703
- Dewey Decimal Classification Number
- 004
- Main Entry-Personal Name
- Mishra, Sattwik Deb.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Stanford University., 2024
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- Physical Description
- 133 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
- General Note
- Advisor: Vuckovic, Jelena.
- Dissertation Note
- Thesis (Ph.D.)--Stanford University, 2024.
- Summary, Etc.
- 요약In recent years, there has been rapid progress in the development of highly controllable quantum systems, opening up applications in quantum computing and quantum communication. With the ultimate goal of creating a fault-tolerant quantum computing platform, noisy intermediate scale quantum devices have been shown to be able to carry out non-trivial computational tasks. Thus, it has become important to understand and alleviate the issues affecting the operation of current noisy quantum computers and communication between them, and to develop numerical simulation tools to aid this understanding.In this thesis, I will describe theoretical and computational approaches, based on tools from numerical optimization theory and tensor network simulation methods, to tackle some of these issues. First, I will present a numerical optimization strategy to improve the efficiency of quantum transducers, that are crucial for quantum communication over optical fiber links. Second, I will describe an optimization-based numerical method utilizing tensor network simulations, for efficiently computing performance bounds on noisy quantum circuits to answer if they can outperform classical computers. Finally, I will present a theoretical proposal for a Hamiltonian to model an arbitrary linear optical device, and use it to implement tensor network simulations of a time-delayed feedback system. Such feedback systems could possibly provide a platform for generation of highly entangled states for quantum computation.
- Subject Added Entry-Topical Term
- Quantum computing.
- Subject Added Entry-Topical Term
- Computers.
- Subject Added Entry-Topical Term
- Fourier transforms.
- Subject Added Entry-Topical Term
- Hilbert space.
- Subject Added Entry-Topical Term
- Circuits.
- Subject Added Entry-Topical Term
- Design.
- Subject Added Entry-Topical Term
- Photonics.
- Subject Added Entry-Topical Term
- Energy.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Electrical engineering.
- Subject Added Entry-Topical Term
- Mathematics.
- Subject Added Entry-Topical Term
- Optics.
- Added Entry-Corporate Name
- Stanford University.
- Host Item Entry
- Dissertations Abstracts International. 86-03B.
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:655422
detalle info
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