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CIF: Small: CQIS: Recoverability and Markovianity in Quantum Information

CIF：小：CQIS：量子信息中的可恢复性和马尔可夫性

基本信息

批准号：
1714215
负责人：
Mark Wilde
金额：
$ 40.05万
依托单位：
Louisiana State University
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
起止时间：
2017-09-01 至 2021-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1714215&HistoricalAwards=false
关键词：
CIF Small CQIS Recoverability Markovianity

项目摘要

This NSF award aims to address foundational questions in quantum information regarding entropy inequalities such as the monotonicity of quantum relative entropy and strong subadditivity. These entropy inequalities are at the core of quantum information and more generally physics, underlying various capacities of quantum communication channels, entropic uncertainty principles, and certain formulations of the second law of thermodynamics. PI Wilde and collaborators have recently established the strongest refinements of these entropy inequalities in the 40 years since Lieb, Ruskai, and Lindblad proved them in the 1970s and in the 30 years since Petz characterized their equality conditions in the 1980s. These refinements have interpretations in terms of recoverability and Markovianity in certain setups to which the original entropy inequalities apply.The PI, armed with these new theorems and other tools, will address fundamental questions regarding recoverability and Markovianity in quantum systems. These questions have been awaiting answers before the refined entropy inequalities were available. Since the use of quantum relative entropy is so widespread all throughout quantum information, there is a vast territory to explore in terms of recoverability and Markovianity, which may lead to fundamental insights into the nature of quantum information. The work developed with this NSF award may also influence other areas of physics, given that Markovianity and recoverability are such fundamental notions permeating all of science.The broader impact of this proposal is in line with the NSF Mission "to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense; and for other purposes." Indeed, research at the intersection of physics, computer science, and mathematics has advanced science in remarkable ways, pushing the limits of what is possible in principle and in practice. A major goal of this proposal is to enhance the training of graduate students at LSU.

该奖项旨在解决量子信息中有关熵不平等的基础问题，如量子相对熵的单调性和强次可加性。这些熵不等式是量子信息和更一般的物理学的核心，是量子通信信道的各种容量、熵不确定性原理和热力学第二定律的某些公式的基础。PI Wilde和他的合作者最近建立了这些熵不等式的最强改进，这是自Lieb，Ruskai和Lindblad在20世纪70年代证明它们以来的40年，以及自Petz在20世纪80年代描述它们的等式条件以来的30年。这些改进有解释的可恢复性和Markovianity在某些设置中，原来的熵不等式适用。PI，武装这些新的定理和其他工具，将解决量子系统中的可恢复性和Markovianity的基本问题。这些问题在改进的熵不等式出现之前一直等待着答案。由于量子相对熵的使用在整个量子信息中是如此广泛，因此在可恢复性和马尔可夫性方面有广阔的领域需要探索，这可能会导致对量子信息本质的基本见解。由于马尔可夫性和可恢复性是贯穿所有科学的基本概念，因此，该奖项的工作也可能影响物理学的其他领域。该奖项的广泛影响符合NSF的使命：“促进科学进步;促进国家健康、繁荣和福利;确保国防安全;以及其他目的。事实上，物理学、计算机科学和数学交叉领域的研究以显著的方式推动了科学的发展，在原则和实践上推动了可能的极限。该提案的一个主要目标是加强路易斯安那州立大学研究生的培训。