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Chinese Journal of Quantum Electronics

Construction method of tight frame bsaed on joint quantum measurement

Lin Ni

Published Jan 1, 2011• 1 citation
OpenAlex

Abstract

To construct a tight frame for a given vector,joint quantum measurement of teleportation was investigated,and a construction method of tight frame was proposed.The generalized construction method of tight frame is based on joint quantum measurement.Firstly,arrange the given vector into a coefficient matrix,then obtain its left unitary,right unitary and singular value matrix by singular value decomposition. Secondly,find a base including a column whose coefficient matrix is just the non-zero part of the singular value matrix.At the end,arrage the rest colomns of the base into non-zero part of the singular value matrix, then get the rest tight frame columns by singular value reconstruction.

Related papers

Construction methods of tight frame bsaed on quantum measurement

Lin Ni

The construction methods of tight frame in quantum field are investigated according to the finite-dimensional tight frame in classic field.As one-to-one correspondence between tight frames and rank-one generalized quantum measurement is proved,two construction methods of tight frame in quantum field based on generalized quantum measurement are designed.The results show that two optimal quantum tight frame can separately solve two basic strategies of state discrimination which are minimum error discrimination and optimal unambiguous discrimination.The minimum error discrimination of a given set of vectors using generalized quantum measurement method with the least-squares criteria is precisely quantum tight frame based on least-squares measurement,which can be divided into two situations,constrained least-squares frame(CLSF) that has specified scale and unconstrained least-squares frame(ULSF) whose scale is chosen. to minimize the least-squares error.Quantum tight frame based on optimal unambiguous discrimination is also given using quantum generalized measurement method.Finally,an example is given to compare these optimal construction methods of tight frame and results show that ULSF is the best.

Chinese Journal of Quantum Electronics•Jan 1, 2010•0 citations

Matrix Encoding Method in Variational Quantum Singular Value Decomposition

Alexander Ivanovich Zenchuk, Wentao Qi, Junde Wu

Abstract We propose the variational quantum singular value decomposition based on encoding the elements of the considered N × N matrix into the state of a quantum system of appropriate dimension. This method doesn’t use the expansion of this matrix in terms of the unitary matrices. Controlled measurement is involved to avoid small success probability in ancilla measurement. The objective function for maximization algorithm can be obtained probabilistically via measurement of the states of two one-qubit subsystems. The circuit requires O (log N ) qubits for realization of this algorithm whose depths is proportional to log N / ε , where ε is the precision required for calculation of singular values.

arXiv:2504.02838•Quantum Information and Computation•Aug 1, 2025•1 citation

Finite frames constructed by solving Fekete problem and accuracy of quantum tomography protocols based on them

Yu. I. Bogdanov, L. V. Belinsky

Finite frames have many applications in quantum informatics, communications, coding theory, and other fields. In this article we investigate their use in quantum tomography. The family of vectors comprising a frame can be used to define a protocol of quantum tomography. To do this one estimates the probabilities of projective measurements on quantum states corresponding to the frame vectors. The state under investigation can then be reconstructed by one of several quantum tomography techniques. Since quantum tomography performance depends greatly on the choice of protocol, the problem of finding an optimal protocol is of considerable interest. WeexamineafamilyofunitnormframesconsistingofnumericalsolutionstoFeketepackingproblemincomplex space. Notable members of this family are Mutually Unbiased Bases (MUBs), which were computed in all investigated prime power dimensions, as well as Symmetrical Informationally Complete Positive Operator Valued Measures(SIC-POVM) in all dimensions. This family contains other uniform tight frames, in which the number of vectors lies between that of full sets of Mutually Unbiased Bases and Symmetrical Informationally Complete POVMs, and which all share the same internal structure. We detail some properties of these frames and their performance as quantum tomography protocols.

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE•Dec 18, 2014•3 citations

Tight quantum teleportation without a shared reference frame

Dominic Verdon, Jamie Vicary

We present a scheme for teleporting a quantum state between two parties whose local reference frames are misaligned by the action of a finite symmetry group. Unlike other proposals, our scheme requires the same amount of classical communication and entangled resources as conventional teleportation, does not reveal any reference frame information, and is robust against changes in reference frame alignment while the protocol is under way. The mathematical foundation of our scheme is a unitary error basis which is permuted up to a phase by the conjugation action of the group. We completely classify such unitary error bases for qubits, exhibit constructions in higher dimension, and provide a method for proving nonexistence in some cases.

arXiv:1710.01060•Physical Review A•Jul 9, 2018•5 citations

Quantum Detection and Finite Frames

Andrew Kebo

In quantum mechanics, the definition of a Von Neumann measurement can be generalized using positive-operator-valued measures. This modified definition of a quantum measurement allows one to better distinguish between a set of nonorthogo-nal quantum states. In this thesis we examine a quantum detection problem, where we have a physical system whose state is limited to be in only one of a finite number of possibilities. These possible states are not necessarily orthogonal. We want to find the best method of measuring the system in order to distinguish which state the system is in. Mathematically, we want to find a positive-operator-valued measure that minimizes the probability of a detection error. It is shown that all tight-frames with frame constant 1 correspond to positive-operator-valued measures. We reformulate the problem in terms of tight-frames that minimize the detection error. In the finite dimensional case, the problem of finding the tight-frame that minimizes the error can be converted into a Hamiltonian system on the group SO(N). The minimum energy solutions of this Hamiltonian system correspond exactly to the tight-frames that minimize the detection error. In this setting, several numerical methods can be applied to give numerical constructions of the desired tight-frames.

•Apr 12, 2005•4 citations

Tight informationally complete quantum measurements

Scott, A J

We introduce a class of informationally complete positive-operator-valued measures which are, in analogy with a tight frame, "as close as possible" to orthonormal bases for the space of general quantum states. Complete sets of mutually unbiased bases and symmetric informationally complete positive-operator-valued measures are both members of this class, the latter being the unique minimal members. Such measures share a particularly simple state reconstruction formula, allowing painless quantum state tomography, and are shown to be optimal for quantum cloning.

•Apr 7, 2006•168 citations
To construct a tight frame for a given vector,joint quantum measurement of teleportation was investigated,and a construction method of tight frame was proposed.The generalized construction method of tight frame is based on joint quantum measurement.Firstly,arrange the given vector into a coefficient matrix,then obtain its left unitary,right unitary and singular value matrix by singular value decomposition. Secondly,find a base including a column whose coefficient matrix is just the non-zero part of the singular value matrix.At the end,arrage the rest colomns of the base into non-zero part of the singular value matrix, then get the rest tight frame columns by singular value reconstruction.
The construction methods of tight frame in quantum field are investigated according to the finite-dimensional tight frame in classic field.As one-to-one correspondence between tight frames and rank-one generalized quantum measurement is proved,two construction methods of tight frame in quantum field based on generalized quantum measurement are designed.The results show that two optimal quantum tight frame can separately solve two basic strategies of state discrimination which are minimum error discrimination and optimal unambiguous discrimination.The minimum error discrimination of a given set of vectors using generalized quantum measurement method with the least-squares criteria is precisely quantum tight frame based on least-squares measurement,which can be divided into two situations,constrained least-squares frame(CLSF) that has specified scale and unconstrained least-squares frame(ULSF) whose scale is chosen. to minimize the least-squares error.Quantum tight frame based on optimal unambiguous discrimination is also given using quantum generalized measurement method.Finally,an example is given to compare these optimal construction methods of tight frame and results show that ULSF is the best.
Abstract We propose the variational quantum singular value decomposition based on encoding the elements of the considered N × N matrix into the state of a quantum system of appropriate dimension. This method doesn’t use the expansion of this matrix in terms of the unitary matrices. Controlled measurement is involved to avoid small success probability in ancilla measurement. The objective function for maximization algorithm can be obtained probabilistically via measurement of the states of two one-qubit subsystems. The circuit requires O (log N ) qubits for realization of this algorithm whose depths is proportional to log N / ε , where ε is the precision required for calculation of singular values.
Finite frames have many applications in quantum informatics, communications, coding theory, and other fields. In this article we investigate their use in quantum tomography. The family of vectors comprising a frame can be used to define a protocol of quantum tomography. To do this one estimates the probabilities of projective measurements on quantum states corresponding to the frame vectors. The state under investigation can then be reconstructed by one of several quantum tomography techniques. Since quantum tomography performance depends greatly on the choice of protocol, the problem of finding an optimal protocol is of considerable interest. WeexamineafamilyofunitnormframesconsistingofnumericalsolutionstoFeketepackingproblemincomplex space. Notable members of this family are Mutually Unbiased Bases (MUBs), which were computed in all investigated prime power dimensions, as well as Symmetrical Informationally Complete Positive Operator Valued Measures(SIC-POVM) in all dimensions. This family contains other uniform tight frames, in which the number of vectors lies between that of full sets of Mutually Unbiased Bases and Symmetrical Informationally Complete POVMs, and which all share the same internal structure. We detail some properties of these frames and their performance as quantum tomography protocols.
We present a scheme for teleporting a quantum state between two parties whose local reference frames are misaligned by the action of a finite symmetry group. Unlike other proposals, our scheme requires the same amount of classical communication and entangled resources as conventional teleportation, does not reveal any reference frame information, and is robust against changes in reference frame alignment while the protocol is under way. The mathematical foundation of our scheme is a unitary error basis which is permuted up to a phase by the conjugation action of the group. We completely classify such unitary error bases for qubits, exhibit constructions in higher dimension, and provide a method for proving nonexistence in some cases.
In quantum mechanics, the definition of a Von Neumann measurement can be generalized using positive-operator-valued measures. This modified definition of a quantum measurement allows one to better distinguish between a set of nonorthogo-nal quantum states. In this thesis we examine a quantum detection problem, where we have a physical system whose state is limited to be in only one of a finite number of possibilities. These possible states are not necessarily orthogonal. We want to find the best method of measuring the system in order to distinguish which state the system is in. Mathematically, we want to find a positive-operator-valued measure that minimizes the probability of a detection error. It is shown that all tight-frames with frame constant 1 correspond to positive-operator-valued measures. We reformulate the problem in terms of tight-frames that minimize the detection error. In the finite dimensional case, the problem of finding the tight-frame that minimizes the error can be converted into a Hamiltonian system on the group SO(N). The minimum energy solutions of this Hamiltonian system correspond exactly to the tight-frames that minimize the detection error. In this setting, several numerical methods can be applied to give numerical constructions of the desired tight-frames.
We introduce a class of informationally complete positive-operator-valued measures which are, in analogy with a tight frame, "as close as possible" to orthonormal bases for the space of general quantum states. Complete sets of mutually unbiased bases and symmetric informationally complete positive-operator-valued measures are both members of this class, the latter being the unique minimal members. Such measures share a particularly simple state reconstruction formula, allowing painless quantum state tomography, and are shown to be optimal for quantum cloning.