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AF: CQIS: Small: Theoretical Problems in Quantum Information

AF: CQIS: Small: Theoretical Problems in Quantum Information
AF:CQIS:小:量子信息中的理论问题
批准号:
1717523
负责人:
Sandeep Sadanandarao
金额:
$45.16万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-06-01 至 2022-05-31

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中文摘要
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英文摘要
This project addresses the following four sets of fundamental questions in quantum information.(1) Randomness extraction in the presence of quantum side information.To secure communication security, it is necessary to generate cryptographic keys that cannot be predicted by an adversary. Such keys are usually obtained through a randomness extraction process, which converts a weakly random input to a (almost) perfectly random output.The team is researching the most efficient methods for this task, with the focus on the setting that the adversary?s knowledge about the input is quantum.(2) Quantum cryptographic hash functions (qchash). Hash functions are powerful tools that can be used to verify the authenticity and the integrity of a message. Quantum hash functions extend (classical) hash functions by using a quantum state to ?tag? a classical message. The team is working to identify the advantages of such functions, especially in the scenario where classical side information is leaked to the adversary.(3) Quantum homomorphic encryption (QHE). Homomorphic encryption allows encrypted data to be processed by multiple parties without the need for decryption or for interactions with the owner of the data.The team is looking for the most efficient methods for achieving this task, when the data are quantum and the adversary is assumed to be all-powerful.(4) Quantum algorithms for combinatorial optimization. Many optimization problems from practice are extremely difficult to solve, even if one is content with an approximate answer. The team is examining to what extent quantum algorithms can speed up the computation or increase quality of approximation. A focus is on the recently proposed algorithmic framework of quantum approximate optimization algorithms (QAOA).Positive solutions to the above questions may lead to new and powerful quantum information applications for safeguarding information security and for solving optimization problems. The project also trains multiple students to become experts on quantum information science.
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
Achievable rate-region for 3—User Classical-Quantum Interference Channel using Structured Codes
使用结构化代码实现 3 用户经典量子干涉通道的速率区域
DOI: 10.1109/isit45174.2021.9518095
发表时间: 2021
期刊: IEEE International symposium on information theory
影响因子: --
作者: [Atif, Touheed Anwar, Padakandla, Arun, Pradhan, S. Sandeep]
通讯作者: Pradhan, S. Sandeep
Faithful Simulation of Distributed Quantum Measurements with Applications in Distributed Rate-Distortion Theory
分布式量子测量的忠实模拟及其在分布式率失真理论中的应用
DOI: --
发表时间: 2019
期刊: IEEE International Symposium on Information Theory
影响因子: --
作者: [Mohsen Heidari, Touheed Anwar]
通讯作者: Mohsen Heidari, Touheed Anwar
DOI: 10.1103/physrevapplied.9.044036
发表时间: 2018-04-26
期刊: PHYSICAL REVIEW APPLIED
影响因子: 4.6
作者: [Jiang, Zhang, Sung, Kevin J., Boixo, Sergio]
通讯作者: Boixo, Sergio
DOI: 10.1088/2058-9565/ab8ebc
发表时间: 2020-07-01
期刊: QUANTUM SCIENCE AND TECHNOLOGY
影响因子: 6.7
作者: [McClean, Jarrod R., Rubin, Nicholas C., Babbush, Ryan]
通讯作者: Babbush, Ryan
Collaborative Research: CIF: Small: A New Paradigm for Distributed Information Processing, Simulation and Inference in Networks: The Promise of Law of Small Numbers
FET: CIF: Small: Distributed Quantum Information Processing using Structured Operators
CIF:Small: Toward an Algebraic and Probabilistic Foundation for Network Information Theory based on Quasi Structured Codes
CIF: Small: New inroads into finite-length distributed information coding
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