State Convertibility in the von Neumann Algebra Framework
State Convertibility in the von Neumann Algebra Framework
复制标题
冯诺依曼代数框架中的状态可转换性
DOI:
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发表时间:
2019
影响因子:
2.4
通讯作者:
I. Todorov
中科院分区:
文献类型:
--
作者:
Jason Crann;D. Kribs;R. Levene;I. Todorov
We establish a generalisation of the fundamental state convertibility theorem in quantum information to the context of bipartite quantum systems modelled by commuting semi-finite von Neumann algebras. Namely, we establish a generalisation to this setting of Nielsen’s theorem on the convertibility of quantum states under local operations and classical communication (LOCC) schemes. Along the way, we introduce an appropriate generalisation of LOCC operations and connect the resulting notion of approximate convertibility to the theory of singular numbers and majorisation in von Neumann algebras. As an application of our result in the setting of II1documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} egin{document}$$mathrm {II}_1$$end{document}-factors, we show that the entropy of the singular value distribution relative to the unique tracial state is an entanglement monotone in the sense of Vidal, thus yielding a new way to quantify entanglement in that context. Building on previous work in the infinite-dimensional setting, we show that trace vectors play the role of maximally entangled states for general II1documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{oddsidemargin}{-69pt} egin{document}$$mathrm {II}_1$$end{document}-factors. Examples are drawn from infinite spin chains, quasi-free representations of the CAR, and discretised versions of the CCR.
影响因子:
1.7
作者:
V. Paulsen;S. Severini;D. Stahlke;I. Todorov;A. Winter
通讯作者:
V. Paulsen;S. Severini;D. Stahlke;I. Todorov;A. Winter
影响因子:
1.7
作者:
Longo, Roberto;Xu, Feng
通讯作者:
Xu, Feng
影响因子:
1.3
作者:
Berta, Mario;Furrer, Fabian;Scholz, Volkher B.
通讯作者:
Scholz, Volkher B.