Quantum Depolarizing Channel
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A quantum depolarizing channel is a model for
quantum noise Quantum noise is noise arising from the indeterminate state of matter in accordance with fundamental principles of quantum mechanics, specifically the uncertainty principle and via zero-point energy fluctuations. Quantum noise is due to the appa ...
in quantum systems. The d-dimensional depolarizing channel can be viewed as a completely positive trace-preserving map \Delta_\lambda, depending on one parameter \lambda, which maps a state \rho onto a
linear combination In mathematics, a linear combination or superposition is an Expression (mathematics), expression constructed from a Set (mathematics), set of terms by multiplying each term by a constant and adding the results (e.g. a linear combination of ''x'' a ...
of itself and the maximally mixed state, :\Delta_\lambda(\rho)=(1-\lambda)\rho+\fracI. The condition of complete positivity requires \lambda to satisfy the bounds :0\le\lambda\le 1+\frac.


Qubit channel

The single
qubit In quantum computing, a qubit () or quantum bit is a basic unit of quantum information—the quantum version of the classic binary bit physically realized with a two-state device. A qubit is a two-state (or two-level) quantum-mechanical syste ...
depolarizing channel has operator-sum representation on a
density matrix In quantum mechanics, a density matrix (or density operator) is a matrix used in calculating the probabilities of the outcomes of measurements performed on physical systems. It is a generalization of the state vectors or wavefunctions: while th ...
\rho given by :\Delta_\lambda(\rho) = \sum_^3 K_i \rho K_i^\dagger, where K_i are the
Kraus operator In quantum mechanics, a quantum operation (also known as quantum dynamical map or quantum process) is a mathematical formalism used to describe a broad class of transformations that a quantum mechanical system can undergo. This was first discusse ...
s given by :K_0 = \sqrt I, K_1 = \sqrt X, K_2 = \sqrt Y, K_3 = \sqrt Z and \ are the
Pauli matrices In mathematical physics and mathematics, the Pauli matrices are a set of three complex matrices that are traceless, Hermitian, involutory and unitary. Usually indicated by the Greek letter sigma (), they are occasionally denoted by tau () ...
. The trace preserving condition is satisfied by the fact that \sum_K_i ^\dagger K_i = I. Geometrically the depolarizing channel \Delta_\lambda can be interpreted as a uniform contraction of the
Bloch sphere In quantum mechanics and computing, the Bloch sphere is a geometrical representation of the pure state space of a two-level quantum mechanical system ( qubit), named after the physicist Felix Bloch. Mathematically each quantum mechanical syst ...
, parameterized by \lambda . In the case where \lambda=1 the channel returns the maximally-mixed state for any input state \rho, which corresponds of the complete contraction of the Bloch-sphere down to the single-point \frac given by the origin.


Classical capacity

The HSW theorem states that the classical capacity of a quantum channel \Psi can be characterized as its regularized Holevo information: :\lim_\frac\chi(\Psi^). This quantity is difficult to compute and this reflects our ignorance on quantum channels. However, if the Holevo information is additive for a channel \Psi, i.e., :\chi(\Psi\otimes\Psi)=\chi(\Psi)+\chi(\Psi). Then we can get its classical capacity by computing the Holevo information of the channel. The additivity of Holevo information for all channels was a famous open conjecture in quantum information theory, but it is now known that this conjecture doesn't hold in general. This was proved by showing that the additivity of minimum output entropy for all channels doesn't hold, which is an equivalent conjecture. Nonetheless, the additivity of the Holevo information is shown to hold for the quantum depolarizing channel, and an outline of the proof is given below. As a consequence, entanglement across multiple uses of the channel cannot increase the classical capacity. In this sense, the channel behaves like a classical channel. To achieve the optimal rate of communication, it suffices to choose an
orthonormal basis In mathematics, particularly linear algebra, an orthonormal basis for an inner product space V with finite Dimension (linear algebra), dimension is a Basis (linear algebra), basis for V whose vectors are orthonormal, that is, they are all unit vec ...
to encode the message, and perform measurements that project onto to the same basis at the receiving end.


Outline of the proof of the additivity of Holevo information

The additivity of Holevo information for the depolarizing channel was proved by Christopher King. He showed that the maximum output ''p''-norm of the depolarizing channel is multiplicative, which implied the additivity of the minimum output entropy, which is equivalent to the additivity of the Holevo information. A stronger version of the additivity of the Holevo information is shown for the depolarizing channel \Delta_\lambda. For any channel \Psi, :\chi(\Delta_\lambda\otimes\Psi)=\chi(\Delta_\lambda)+\chi(\Psi). This is implied by the following multiplicativity of maximum output ''p''-norm (denoted as v_p): :v_p(\Delta_\lambda\otimes\Psi)=v_p(\Delta_\lambda)v_p(\Psi). The greater than or equal to direction of the above is trivial, it suffices to take the tensor product the states that achieve the maximum ''p''-norm for \Delta_\lambda and \Psi respectively, and input the product state into the product channel to get the output ''p''-norm v_p(\Delta_\lambda)v_p(\Psi). The proof for the other direction is more involved The main idea of the proof is to rewrite the depolarizing channel as a
convex combination In convex geometry and Vector space, vector algebra, a convex combination is a linear combination of point (geometry), points (which can be vector (geometric), vectors, scalar (mathematics), scalars, or more generally points in an affine sp ...
of simpler channels, and use properties of those simpler channels to get the multiplicativity of the maximum output ''p''-norm for the depolarizing channel. It turns out that we can write the depolarizing channel as follows: :\Delta_\lambda(\rho)=\sum_^c_nU_n^*\Phi_\lambda^(\rho)Un where c_n's are positive numbers, U_n's are unitary matrices, \Phi^_\lambda's are some dephasing channels and \rho is an arbitrary input state. Therefore, the product channel can be written as :\left(\Delta_\lambda\otimes\Psi\right)(\rho)=\sum_^c_n(U_n^*\otimes I) \left(\Phi_\lambda^\otimes\Psi\right)(\rho)\left(U_n\otimes I\right). By the convexity and the unitary invariance of the ''p''-norm, it suffices to show the simpler bound :\left\, \left(\Phi^_\lambda\otimes\Psi\right)(\rho)\right\, _p\le v_p(\Delta_\lambda)v_p(\Psi). One important mathematical tool used in the proof of this bound is the Lieb–Thirring inequality, which provides a bound for ''p''-norm of a product of positive matrices. The details and the calculations of the proof are skipped, interested readers are referred to the paper of C. King mentioned above.


Discussion

The main technique used in this proof, namely rewriting the channel of interest as a convex combination of other simpler channels, is a generalization of the method used earlier to prove similar results for unital qubit channels.C. King, ''Additivity for unital qubit channels'' The fact that the classical capacity of the depolarizing channel is equal to the Holevo information of the channel means that we can't really use quantum effects such as entanglement to improve the transmission rate of classical information. In this sense, the depolarizing channel can be treated as a classical channel. However the fact that the additivity of Holevo information doesn't hold in general proposes some areas of future work, namely finding channels that violates the additivity, in other words, channels that can exploit quantum effects to improve the classical capacity beyond its Holevo information.


Notes


References

* * * {{DEFAULTSORT:Quantum Depolarizing Channel Quantum information theory