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Title: | CRYPTOGRAPHY IN THE AGE OF QUANTUM COMPUTERS 2.0 |
Authors: | Liu, Qipeng |
Advisors: | Zhandry, Mark |
Contributors: | Computer Science Department |
Keywords: | Cryptography Quantum Computing |
Subjects: | Computer science |
Issue Date: | 2021 |
Publisher: | Princeton, NJ : Princeton University |
Abstract: | People widely believe that full-scale quantum computers will eventually be viable in the near future. Quantum computers pose threats to many existing cryptosystems (most prominently, Shor's algorithm) while raising the possibility of using quantum-mechanical phenomena to achieve never-before-possible capabilities. First, I will present my work on quantum query complexity: I will show tight bounds for multi-collision finding problems and tight time-space tradeoffs for function inversion problems. The latter indicates that Grover's search cannot be sped up even with a piece of preprocessed quantum advice. This technique can be extended to prove the post-quantum non-uniform security of many existing cryptographic schemes. Second, I will present my work on post-quantum zero-knowledge proof. I will start by showing that post-quantum constant-round zero-knowledge protocols for NP with black-box simulators do not exist in the plain model unless NP is in BQP. Then, I will show how to achieve non-interactive zero-knowledge in the quantum random oracle model by proving that the famous Fiat-Shamir transformation is secure. Third, I will present my work on quantum copy-protection, which aims to use the unclonability of quantum states to achieve programs that cannot be copied. Towards this goal, I will show that any unlearnable function can be copy-protected relative to classical oracles. For specific cryptographic functionalities (such as signatures and RPFs), I will show that they can be copy-protected in the plain model. |
URI: | http://arks.princeton.edu/ark:/99999/fk4v70wr3t |
Alternate format: | The Mudd Manuscript Library retains one bound copy of each dissertation. Search for these copies in the library's main catalog: catalog.princeton.edu |
Type of Material: | Academic dissertations (Ph.D.) |
Language: | en |
Appears in Collections: | Computer Science |
Files in This Item:
File | Size | Format | |
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Liu_princeton_0181D_13836.pdf | 2.32 MB | Adobe PDF | View/Download |
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