We consider a non-negative integer valued grading function on tensor products which aims to measure the extent of entanglement. This grading, unlike most of the other measures of entanglement, is defined exclusively in terms of the tensor product. It gives a possibility to approach the notion of entanglement in a more refined manner, as the non-entangled elements are those of grade zero or one, while the rest of elements with grade at least two are entangled, and the higher its grade, the more entangled an element of the tensor product is. The problem of computing and reducing the grade is studied in products of arbitrary vector spaces over arbitrary fields.
We study tensor norms over Banach spaces and their relation to quantum information theory, in partic...
We introduce a method for transforming low-order tensors into higher-order tensors and apply it to t...
We show that a bipartite state on a tensor product of two matrix algebras is almost surely entangled...
We consider a non-negative integer valued grading function on tensor products which aims to measure ...
We study the rank of a general tensor $u$ in a tensor product $H_1\ot...\ot H_k$. The rank of $u$ is...
In this thesis, we use algebraic-geometric and combinatorial techniques to study tensor decompositio...
Matrix rank is multiplicative under the Kronecker product, additive under the direct sum, normalised...
Tensors are combinations of several vectors such that a bigger vector space, also calledthe tensor s...
[[abstract]]We propose a unified mathematical scheme, based on a classical tensor isomorphism, for c...
The curse of dimensionality associated with the Hilbert space of spin systems provides a significant...
2015-2016 > Academic research: refereed > Publication in refereed journalVersion of RecordRGCPolyU 5...
We propose the construction and error correction procedures of an entanglement assisted binary quant...
Introduction Quantum information processing has received a considerable interest in the last years,...
The treatment of high-dimensional problems such as the Schrodinger equation can be approached by con...
We investigate the possibility of transforming, under local operations and classical communication,...
We study tensor norms over Banach spaces and their relation to quantum information theory, in partic...
We introduce a method for transforming low-order tensors into higher-order tensors and apply it to t...
We show that a bipartite state on a tensor product of two matrix algebras is almost surely entangled...
We consider a non-negative integer valued grading function on tensor products which aims to measure ...
We study the rank of a general tensor $u$ in a tensor product $H_1\ot...\ot H_k$. The rank of $u$ is...
In this thesis, we use algebraic-geometric and combinatorial techniques to study tensor decompositio...
Matrix rank is multiplicative under the Kronecker product, additive under the direct sum, normalised...
Tensors are combinations of several vectors such that a bigger vector space, also calledthe tensor s...
[[abstract]]We propose a unified mathematical scheme, based on a classical tensor isomorphism, for c...
The curse of dimensionality associated with the Hilbert space of spin systems provides a significant...
2015-2016 > Academic research: refereed > Publication in refereed journalVersion of RecordRGCPolyU 5...
We propose the construction and error correction procedures of an entanglement assisted binary quant...
Introduction Quantum information processing has received a considerable interest in the last years,...
The treatment of high-dimensional problems such as the Schrodinger equation can be approached by con...
We investigate the possibility of transforming, under local operations and classical communication,...
We study tensor norms over Banach spaces and their relation to quantum information theory, in partic...
We introduce a method for transforming low-order tensors into higher-order tensors and apply it to t...
We show that a bipartite state on a tensor product of two matrix algebras is almost surely entangled...