In this brief report, we consider the equivalence between two sets of
m+1 bipartite quantum states under local unitary transformations. For pure states, this problem corresponds to the matrix algebra question of whether two degree
m matrix polynomials are unitarily equivalent; i.e.
UAiV†=Bi for
0≤i≤m where
U and
V are unitary and
(Ai,Bi) are arbitrary pairs of rectangular matrices. We present a randomized polynomial-time algorithm that solves this problem with an arbitrarily high success probability and outputs transforming matrices
U and
V.
In this brief report, we consider the equivalence between two sets of
m+1 bipartite quantum states under local unitary transformations. For pure states, this problem corresponds to the matrix algebra question of whether two degree
m matrix polynomials are unitarily equivalent; i.e.
UAiV†=Bi for
0≤i≤m where
U and
V are unitary and
(Ai,Bi) are arbitrary pairs of rectangular matrices. We present a randomized polynomial-time algorithm that solves this problem with an arbitrarily high success probability and outputs transforming matrices
U and
V.
We present an algorithm to solve the Simultaneous Unitary Similarity(S.U.S) problem which is to check if there exists a Similarity transformation determined by a Unitary
U s.t
UAlU∗=Bl,
l∈{1,...,p}, where
Al and
Bl are
nxn complex matrices. We observe that the problem is simplest when
U is diagonal, where we see that the `paths' in the graph defined by non-zero elements of
Al and
Bl determine the solution. Inspired by this we generalize this to the case when
U is block-diagonal to identify a form refered to as the `Solution-form' using `paths' determined by non-zero sub-matrices of
Al,Bl which are non-zero multiples of Unitary. When not in Solution form we find an equivalent problem to solve by diagonalizing a Hermitian or a Normal matrix related to the sub-matrices. The problem is solved in a maximum of
n steps. The same idea can be extended to solve the Simultaneous Unitary Equivalence (S
.U
.Eq) problem where we solve for
U,V in
UAlV∗=Bl,
Al,Bl being
mxn Complex rectangular matrices. Here we work with the 'paths' in the related bi-graph to define the Solution-form. The algorithms have a complexity of
O(pn4). This work finds application in Quantum Evolution, Quantum gate design and Simulation. The salient features of each step of the algorithm can be retained as Canonical features to classify a given collection of complex matrices up to Unitary Similarity.
We consider the problem of deciding if some multiparty entangled pure state can be converted, with a nonzero success probability, into a given bipartite pure state shared between two specified parties through local quantum operations and classical communication. We show that this question is equivalent to the well-known computational problem of deciding if a multivariate polynomial is identically zero. Efficient randomized algorithms developed to study the latter can thus be applied to our question. As a result, a given transformation is possible if and only if it is generically attainable by a simple randomized protocol.
Local unitary equivalence is an important ingredient for quantifying and classifying entanglement. Verifying whether or not two quantum states are local unitary equivalent is a crucial problem, where only the case of multipartite pure states is solved. For mixed states, however, the verification of local unitary equivalence is still a challenging problem. In this paper, based on the coefficient matrices of generalized Bloch representations of quantum states, we find a variety of local unitary invariants for arbitrary-dimensional bipartite quantum states. These invariants are operational and can be used as necessary conditions for verifying the local unitary equivalence of two quantum states. Furthermore, we extend the construction to the arbitrary-dimensional multipartite case. We finally apply these invariants to estimate concurrence, a vital entanglement measure, showing the practicability of local unitary invariants in characterizing entanglement.