Abstract
It has been shown that joint probability distributions of quantum systems generally do not exist, and the key to solving this concern is the compound state invented by Ohya. The Ohya compound state constructed by the Schatten decomposition (i.e., one-dimensional orthogonal projection) of the input state shows the correlation between the states of the input and output systems. In 1983, Ohya formulated the quantum mutual entropy by applying this compound state. Since this mutual entropy satisfies the fundamental inequality, one may say that it represents the amount of information correctly transmitted from the input system through the channel to the output system, and it may play an important role in discussing the efficiency of information transfer in quantum systems. Since the Ohya compound state is separable state, it is important that we must look more carefully into the entangled compound state. This paper is intended as an investigation of the construction of the entangled compound state, and the hybrid entangled compound state is introduced. The purpose of this paper is to consider the validity of the compound states constructing the quantum mutual entropy type complexity. It seems reasonable to suppose that the quantum mutual entropy type complexity defined by using the entangled compound state is not useful to discuss the efficiency of information transmission from the initial system to the final system.
1. Introduction
The first scholar to give much attention to a mathematical treatment of communication processes was Shannon [1]. He created the information theory by introducing measures of information, such as the entropy of the system and the mutual entropy formulated by the relative entropy of the joint probability distribution between input and output determined by the channel and the direct product distribution between input and output. Various researchers have studied the efficiency of information transmission from the input system to the output system passing through ordinary communication channels based on information theory. To rigorously examine the efficiency of information transmission in optical communication, it is necessary to formulate quantum information theory that can describe such quantum effects. It is indispensable to extend important measures, such as entropy, to quantum systems and greatly expand them to more general information theories, including Shannon’s information theory.
A study to extend entropy to quantum systems was started by von Neumann [2] in 1932. Furthermore, the quantum relative entropy was introduced by Umegaki [3], and Araki [4,5], Uhlmann [6], Donald [7] extended it to more general quantum systems. One of the important problem is to examine how accurately information is transmitted when an optical signal is passed through an optical channel. To achieve this, it needs to extend the mutual entropy determined in the classical system to the quantum system.
The mutual entropy of a classical system is determined using the joint probability distribution between the input and the output systems. However, it has been shown that the joint probability distribution of the quantum system generally does not exist [8]. Ohya [9,10] introduced the compound state (Ohya compound state) representing correlation between the initial state and the output state to construct the quantum mutual entropy in quantum communication processes. Ohya formulated the quantum mutual entropy [9,10,11,12,13,14,15] by using the quantum relative entropy between the Ohya compound state and the tensor product of the input state and the output state through the quantum channel. Then the Shannon’s type inequalities hold [9,10]. It was extended to C*-algebra by Ohya [12]. Based on the Ohya mutual entropy, the quantum capacity has been studied by several researchers [16,17,18,19,20,21]. Added to these entropies, Ohya defined the C*-mixing entropy [22] and it was extended for the Rényi case [23]. The property of these entropies was study in [11,13,23,24]. The entangled state is an important subject for studying quantum information theory. One of the noticeable results to discuss the entanglement state is the Jamiołkowski’s isomorphism [25].
The purpose of this paper is to consider the validity of the compound states constructing the quantum mutual entropy type complexity. In this paper, we show the construction of the Ohya compound state by using the Jamiolkowski isomorphism, and we review the existence of completely positive channel between the entangled compound state and the Ohya compound state. We introduce the mutual entropy type measure by using the quantum relative entropy between the hybrid entangled compound state and trivial compound state, and study some property of the mutual entropy type measure with respect to the hybrid entangled compound state. The important applications of the entangled quantum channels are the quantum teleportation and the quantum dense coding, and so on. To investigate the efficiency of information transmission of these entangled quantum channels [26], it is debatable whether the mutual entropy type complexity by using the entangled compound state [26] is useful. Since the quantum teleportation can be described by the completely positive channel, it is also used in this paper the same as the usual quantum information. We show the quantum mutual entropy type measure defined by using the entangled compound state is not suitable to discuss the efficiency of information transmission from the initial system to the final system.
2. Quantum Entropy for Density Operators
Von Neumann defined the entropy of a quantum state by
The Schatten decomposition of a state is described by
where is an eigenvalue of and is the one-dimensional projection with respect to . This Schatten decomposition is not unique excepting all eigenvalues are non-degenerate. For a state , the von Neumann entropy is equal to the Shannon entropy with respect to the probability distribution :
Hence the von Neumann entropy includes the Shannon entropy as a special case.
3. Quantum Channels
Let be a C-algebra or (resp. ) the set of all bounded operators on a separable complex Hilbert space We denote the input (resp. output) quantum system by (, ) (resp. , is the input (resp. output) quantum system. Let is a linear mapping from to with , where is the identity operator in (). The dual map of is a linear quantum channel from to given by for any and any . If holds
for all , all and all is said to be a completely positive (C.P.) channel [11,13,14,15,27,28].
3.1. Quantum Communication Processes
and are two Hilbert spaces representing noise and loss systems. Let (resp. ) be the set of all density operators on (resp. ) (). Put , , , , and .
Ohya [9] formulated a model of quantum channel with respect to quantum communication process considering noise and loss.
Let be a CP channel from to defined by
for any input state and any noise state and be a CP channel from to given by
for any and any , where is the identity operator in (). is a CP channel from to depending on the physical properties of the communication device. For all input state and all , he quantum channel with respect to the communication process is defined by
We here briefly review the noisy optical channel and the attenuation channel in respect of the quantum communication processes
3.2. Noisy Quantum Channel
Let be a normal state in and be the photon number state satisfying for any . Let V be a linear mapping from to given by
where is the photon number state vector in , and , are complex numbers holding , and . For all , we introduced the noisy optical channel [19] with a normal state by
where be the density operator holding for any .
The noisy quantum channel defined on the input, noise, output and loss systems generated by all photon number states of each system deals with the optical noise state created by the photon number states. The noisy quantum channel contains the generalized beam splitter transmitting from the input and noise systems to the output and loss systems. We have the following theorem [29].
Theorem 1.
The noisy optical channel with noise state
is described by
where , is a CONS in , is a CONS in and is the set of number states in .
[19] is said to be a generalized beam splitting. For the coherent input state , the output state of is obtained by
The attenuation channel [9] is the noisy optical channel with a vacuum noise.
3.3. Attenuation Channel
Let be a normal state in and be the vacuum noise state satisfying for any . Let V be a linear mapping from to given by
where is the photon number state vector in , and , are complex numbers holding . For any , the attenuation channel [9] with a vacuum noise state is given by
It represents the beam splitting sending the input state to the output and loss states, which can be described as the transformation process from the tensor product of the input state and the vacuum noise state to the tensor product of the output and loss states. Let be a lifting from to [30]. The beam splitting [31] is defined on generalized Fock spaces by
The entangled quantum channels are the quantum teleportation and the quantum dense coding, and it is discussed in this paper as the completely positive channel.
4. Quantum Mutual Entropy
For purely quantum systems, the mutual entropy in respect of an input quantum state and a quantum channel needs to satisfy the following conditions: (i) the identity channel , the quantum mutual entropy is equal to the von Neumann entropy of (i.e., . (ii) For the classical systems, the quantum mutual entropy agrees to classical mutual entropy. (iii) Shannon’s type fundamental inequalities is satisfied.
For the Schatten decomposition [32] of the input state and the quantum channel , Ohya proposed the compound state defined by
For the compound states and , Ohya [9,10] defined the quantum mutual entropy (information) by taking the Umegaki’s relative entropy [3] over all Schatten decompositions of
where is given by
indicates that the support projection of is larger than the support projection of . The quantum mutual entropy satisfies the above conditions (1) ∼ (3) [9]:
Theorem 2.
For a linear channel, one has the following form [9]:
Theorem 3.
The quantum mutual entropy is denoted as
When the input system reduces to classical one, an input state is represented by a probability distribution or a probability measure. Then the Schatten decomposition of is unique, namely for the case of probability distribution;
where is the Dirac delta measure, the mutual entropy is described by
which is equal to
This equation introduced by Levitin [33] and Holevo [34] associated with classical-quantum channels. The classical-quantum channel is called the quantum coding (see [13,14,15]). This equation has no meaning unless one of the two terms is finite for an infinite-dimensional Hilbert space. The Ohya mutual entropy contains their semi-classical mutual entropies as a special case.
For a completely positive (CP) channel , it can be represented by
where is held. The compound state is constructed by using the compound lifting associated with a fixed decomposition of as () such as
5. Entropy Exchange and Coherent Information
For a completely positive channel denoted by
the entropy exchange [35,36,37,38,39] of the quantum operation and the input state is given by
where is the matrix elements of W. The coherent entropy [39] and the Lindblad–Neilsen entropy [35] are defined as follows:
Definition 1.
The coherent entropy is defined by
The Lindblad–Neilsen entropy is defined by this coherent entropy with the von Neumann entropy such that
The coherent entropy was defined by reducing the von Neumann entropy of the output state by the entropy exchange. It can be used for the efficient channel of the physical systems. The Lindblad-Nielsen entropy was defined by adding the coherent entropy to the von Neumann entropy of the input state. It seems that it can be used to explain the quantum dense coding in the quantum information. It should also be added that the quantum mean mutual entropy [24] and quantum dynamical mutual entropy [40,41] are discussed. Those mutual entropy type complexities satisfy the Shannon’s type fundamental inequalities.
6. Comparison of Various Quantum Mutual Type Entropies
Based on [14,15], we briefly show the comparison of these mutual entropy type complexities.
Let be a CONS in the input Hilbert space and be a one-dimensional projection holding
For the quantum channel denoted by
we have the following theorems [14,15]:
Theorem 4.
When is a projection valued measure and dim(ran for arbitrary state ρ we have (1) , (2) (3)
Theorem 5.
Let in the input Hilbert space be given a CONS and in the output Hilbert space a sequence of the density operators . Consider a channel given by
where ρ is any state in the input Hilbert space. Then the coherent entropy is equals to 0 for any state
For the attenuation channel , the following theorems are held [14,42]:
Theorem 6.
For any state and the attenuation channel with , one has
- 1.
- (Ohya mutual entropy),
- 2.
- (coherent entropy),
- 3.
- (Lindblad-Nielsen entropy).
Theorem 7.
For the attenuation channel and the input state , we have
- 1.
- (Ohya mutual entropy),
- 2.
- (coherent entropy),
- 3.
- (Lindblad-Nielsen entropy).
The above theorem means that for , the coherent entropy less than 0 and for , the Lindblad-Nielsen entropy is greater than the von Neumann entropy .
From what has been obtained above, we may, therefore, reasonably conclude that Ohya mutual entropy only satisfies the inequality held in classical systems, so that Ohya mutual entropy may be the best candidate as a quantum extension of classical mutual entropy. The main reason is that the Ohya mutual entropy holds the above three conditions in Section 4. The coherent entropy does not satisfy (iii) and the Lindblad–Nielsen entropy does not satisfy (i) and (iii).
The noisy optical channel can be described by using the Stinespring–Sudarshan–Kraus form.
Theorem 8.
The noisy optical channel with noise state is described by
where , and are CONS in and , respectively. is the set of number states in .
Theorem 9.
For the noisy optical channel with satisfying and the input state , we have the entropy exchange
Then
Based on the above theorems, one can obtain the following theorem:
Theorem 10.
For the noisy optical channel and the input state , we have
- 1.
- (Ohya mutual entropy),
- 2.
- (coherent entropy),
- 3.
- (Lindblad-Nielsen entropy).
7. Compound States
Based on [29], we briefly review some results concerning the entangled compound states.
When a signal is transmitted through a channel from the initial state to the final state , we will consider here the methods of constructing some compound states satisfying marginal conditions
For the initial state , let be the Schatten - von Neumann decomposition of , which is not unique if the eigenvalues are degenerate. The following separable compound states with respect to the input state and the quantum channel satisfies the marginal conditions.
Let be a linear mapping from to . For the CP channel represented by the Stinespring-Sudarshan-Kraus form as
and are obtained by using the Jamiołkowski isomorphism channel [25]
where and are the separable compound states given by
The point I wish to emphasize is that what kind of compound state is most suitable for discussing the efficiency of information transmission for the quantum communication processes including the entangled physical phenomenon. A great deal of effort has been made on this problem. What seems to be lacking, however, is to investigate this problem as a whole. Therefore I discuss this problem as a whole repeating these theorems in this paper in addition to new theorems.
For the quantum channel and the Schatten decomposition of , let be a compound state defined by
satisfying
Base on [29], one has the following theorem.
Theorem 11.
Let be an entangled compound state with respect to the input state ρ, the CP channel and the Schatten - von Neumann decomposition of ρ defined by
under the condition
Then holds two marginal condition
and the upper bound of the relative entropy between and is given by
Proof.
for any in . Then one has
for any in . Then we have
After simple calculation, we have
□
Then one has the following results [29].
Corollary 1.
Let be a pure entangled compound state with respect to the input state ρ, the CP channel and the Schatten - von Neumann decomposition of ρ defined by
under the condition
Then holds two marginal condition
and the upper bound of the relative entropy between and is given by
Corollary 2.
Let be a mixed entangled compound state with respect to the input state ρ, the CP channel and the Schatten - von Neumann decomposition of ρ defined by
under the condition
holds two marginal condition
If holds, then the upper bound of the relative entropy between and is given by
The following results are obtained for the compound state given by the affine combination of the separable and entangled compound states. [29].
Theorem 12.
For any let be a compound state defined by
satisfies two marginal conditions as follows:
One can obtain the upper bound of the relative entropy between and
According to [29], the relation between the separable and the entangled compound states is satisfied.
Theorem 13.
There exists a CP channel depending on the Schatten - von Neumann decomposition of the input state ρ from the entangled compound state
to the separable compound state as follows:
where is given by
satisfying
Theorem 14.
There exists a CP channel depending on the Schatten-von Neumann decomposition of the input state ρ from the separable compound state to the entangled compound state
as follows:
where is given by
with the condition
Based on [29], one obtains the following theorems for the attenuation channel .
Theorem 15.
For the attenuation channel and the input state
if and , then there exists a compound state Φ satisfying
where W is a matrix with
for a state ρ concerning a Stinespring-Sudarshan-Kraus form
of a channel .
Theorem 16.
For the attenuation channel and the input state
if and , then there exists a compound state Φ satisfying
Here, we introduce the construction of the hybrid entangled compound state as follow: For an initial state , the Schatten decomposition of is given by
where Q is the total index set with respect to a decomposition of the state. One can create a compound state with respect to a subset of Q as
If the cardinality of subset of Q holds , then is called a separable compound state denoted by
If is held, then is called a full entangled compound state denoted by
If is held, then is called a hybrid compound state concerned with an index set denoted by
Let us consider the completely positive channel given by for any with and
By using the Jamiolkowski isomorphic channel one can define the following compound states:
(1) The separable compound state with respect to the Schatten decomposition of the initial state and the completely positive channel is defined by
(2) The full entangled compound state with respect to the Schatten decomposition of the initial state and the completely positive channel is defined by
(3) The hybrid compound state concerned with an index set with respect to the Schatten decomposition of the initial state and the completely positive channel is defined by
Please note that one can define the hybrid compound state by using the compound lifting such that
We define the mutual entropy type measure as follows: For a Schatten decomposition of the initial state , let be an entangled compound state with respect to a subset and the CP channel for any with and . The mutual entropy type measure with respect to a subset and the CP channel is defined by taking the supremum of the relative entropy between and for all Schatten decomposition of the initial state
Theorem 17.
For a Schatten decomposition of the initial state ρ, let be an entangled compound state with respect to a subset and the CP channel for any with and It holds two marginal conditions
and the relative entropy between and satisfies the following inequality:
Proof.
Since
is held, then one has
under the condition
Then holds two marginal conditions
and the relative entropy between and is obtained by
Therefore, we get the following inequality:
□
It shows that the mutual entropy at time t defined by using the entangled compound state greater than the von Neumann entropy of the final state . When is held, one has the following inequality
It means that the mutual entropy type measure defined by using the entangled compound state at initial time greater than the von Neumann entropy of the initial state .
Let be a completely positive channels given by
satisfying
(1) The separable compound state with respect to the Schatten decomposition of the initial state and the completely positive channel is defined by
(2) The full entangled compound state with respect to the Schatten decomposition of the initial state and the completely positive channel is defined by
(3) The hybrid compound state with respect to a subset , the Schatten decomposition of the initial state and the completely positive channel is defined by
Here we define the mutual entropy type measure as follows: For a Schatten decomposition of the initial state , let be an entangled compound state with respect to a subset and the CP channel for any with and . The mutual entropy type measure with respect to a subset and the CP channel is defined by taking the supremum of the relative entropy between and for all Schatten decomposition of the initial state
Theorem 18.
For a Schatten decomposition of the initial state ρ, let be an entangled compound state with respect to a subset and the CP channel for any with and . It satisfies two marginal conditions
The mutual entropy type measure with respect to the relative entropy between and holds the following inequality:
where in the right-hand side is the Ohya mutual entropy.
Proof.
One has
where
Since
under the condition
holds two marginal conditions
The relative entropy between and is obtained by
Thus, we have the inequality
□
If is held, then we obtain the following inequality:
It shows that the mutual entropy defined by using the entangled compound state with respect to a subset , the initial state and the quantum channel greater than the von Neumann entropy of the initial state .
If the above completely positive channel has orthogonality (i.e., ) then we have the following theorem.
Theorem 19.
For a Schatten decomposition of the initial state ρ, let be an entangled compound state with respect to a subset and the CP channel for any with and and orthogonality (i.e., ). It satisfies two marginal conditions
The following inequality is held:
Proof.
The relative entropy between and is obtained by
Therefore, we obtain the following inequality:
□
It shows that the mutual entropy defined by using the entangled compound state with respect to a subset , the initial state and the quantum channel greater than the von Neumann entropy of the initial state .
Let be CONS in and . We define a linear map from to by
The completely positive channels given by
satisfies
Theorem 20.
For a Schatten decomposition of the initial state ρ, let be an entangled compound state with respect to a subset and the CP channel for any with and . It satisfies two marginal conditions
The mutual entropy type measure increases in proportion to the rise in cardinality It holds the following inequality:
Proof.
One has
where
Since
under the condition
holds two marginal conditions
The relative entropy between and is obtained by
Thus, we have the inequality
For , one has
Therefore, the mutual entropy type measure increases in proportion to the rise in cardinality □
If is held, then the mutual entropy type measure is equals to the Ohya mutual entropy taking the von Neumann entropy of the initial state
If is held, then the mutual entropy type measure is equals to the Lindblad-Nielsen entropy taking two times of the von Neumann entropy of the initial state
It shows that the mutual entropy defined by using the entangled compound state with respect to a subset , the initial state and the quantum channel greater than the von Neumann entropy of the initial state . It does not satisfy the fundamental inequalities.
8. Conclusions
As is mentioned above, we discuss the quantum mutual entropy type measure by means of the entangled compound state. The mutual entropy type measure at time t defined by using the entangled compound state greater than the von Neumann entropy of the final state . and the mutual entropy type measure at initial time greater than the von Neumann entropy of the initial state . The mutual entropy type measure , which greater than , increases in proportion to the rise in cardinality It does not satisfy the fundamental inequalities. It seems reasonable to suppose that the quantum mutual entropy type measure defined by using the entangled compound state is not useful to discuss the efficiency of information transmission from the initial system to the final system.
Funding
This research received no external funding.
Acknowledgments
I would like to thank Andrei Khrennikov for his helpful suggestion and kind encouragement. This paper owes much to the thoughtful and helpful comments of Andrei Khrennikov.
Conflicts of Interest
The author declares no conflict of interest.
References
- Shannon, C.E. A mathematical theory of communication. Bell Syst. Tech. J. 1948, 27, 379–423, 623–656. [Google Scholar] [CrossRef]
- von Neumann, J. Die Mathematischen Grundlagen der Quantenmechanik; Springer: Berlin, Germany, 1932. [Google Scholar]
- Umegaki, H. Conditional expectations in an operator algebra IV (entropy and information). Kodai Math. Sem. Rep. 1962, 14, 59–85. [Google Scholar] [CrossRef]
- Araki, H. Relative entropy of states of von Neumann Algebras. Publ. RIMS Kyoto Univ. 1976, 11, 809–833. [Google Scholar] [CrossRef]
- Araki, H. Relative entropy for states of von Neumann algebras II. Publ. RIMS Kyoto Univ. 1977, 13, 173–192. [Google Scholar] [CrossRef]
- Uhlmann, A. Relative entropy and the Wigner-Yanase-Dyson-Lieb concavity in interpolation theory. Commun. Math. Phys. 1977, 54, 21–32. [Google Scholar] [CrossRef]
- Donald, M.J. On the relative entropy. Commun. Math. Phys. 1985, 105, 13–34. [Google Scholar] [CrossRef]
- Urbanik, K. Joint probability distribution of observables in quantum mechanics. Stud. Math. 1961, 21, 317. [Google Scholar] [CrossRef]
- Ohya, M. On compound state and mutual information in quantum information theory. IEEE Trans. Inf. Theory 1983, 29, 770–777. [Google Scholar] [CrossRef]
- Ohya, M. Note on quantum probability. Lettere al Nuovo Cimento 1983, 38, 402–404. [Google Scholar] [CrossRef]
- Ingarden, R.S.; Kossakowski, A.; Ohya, M. Information Dynamics and Open Systems; Kluwer: Dordrecht, The Netherlands, 1997. [Google Scholar]
- Ohya, M. Some aspects of quantum information theory and their applications to irreversible processes. Rep. Math. Phys. 1989, 27, 19–47. [Google Scholar] [CrossRef]
- Ohya, M.; Petz, D. Quantum Entropy and Its Use; Springer: Berlin/Heidelber, Germany, 1993. [Google Scholar]
- Ohya, M.; Watanabe, N. Quantum Entropy and Its Applications to Quantum Communication and Statistical Physics. Entropy 2010, 12, 1194–1245. [Google Scholar] [CrossRef]
- Ohya, M.; Volovich, I.V. Mathematical Foundations of Quantum Information. and Computation and Its Applications to Nano- and Bio-Systems; Springer: Dordrecht, The Netherlands, 2011. [Google Scholar]
- Ohya, M. Fundamentals of quantum mutual entropy and capacity. Open Syst. Inf. Dyn. 1999, 6, 69–78. [Google Scholar] [CrossRef]
- Ohya, M.; Petz, D.; Watanabe, N. On capacities of quantum channels. Probab. Math. Stat. 1997, 17, 179–196. [Google Scholar]
- Ohya, M.; Watanabe, N. A mathematical study of information transmission in quantum communication processes. Quant. Commun. Meas. 1995, 2, 371–378. [Google Scholar]
- Ohya, M.; Watanabe, N. Construction and analysis of a mathematical model in quantum communication processes. Scri. Thech. Inc. Elect. Commun. Jpn. 1985, 68, 29–34. [Google Scholar] [CrossRef]
- Ohya, M.; Volovich, I.V. On Quantum Entropy and its Bound. Infin. Dimens. Anal. Quantum Probab. Relat. Top. 2003, 6, 301–310. [Google Scholar] [CrossRef]
- Ohya, M.; Petz, D.; Watanabe, N. Numerical computation of quantum capacity. Inter. J. Theor. Phys. 1998, 38, 507–510. [Google Scholar] [CrossRef]
- Ohya, M. Entropy Transmission in C*-dynamical systems. J. Math. Anal. Appl. 1984, 100, 222–235. [Google Scholar] [CrossRef]
- Mukhamedov, F.; Ohmura, K.; Watanabe, N. A formulation of Rényi entropy on C*-algebras. Quantum Inf. Process. 2019, 18, 318. [Google Scholar] [CrossRef]
- Muraki, N.; Ohya, M. Entropy functionals of Kolmogorov—Sinai type and their limit theorems. Lett. Math. Phys. 1996, 36, 327–335. [Google Scholar] [CrossRef]
- Jamiołkowski, A. Linear transformations which preserve trace and positive semidefiniteness of operators. Rep. Math. Phys. 1972, 3, 275–278. [Google Scholar] [CrossRef]
- Belavkin, V.P.; Ohya, M. Entanglement, quantum entropy and mutual information. Proc. R. Soc. Lond. 2002, 458, 209–231. [Google Scholar] [CrossRef]
- Ohya, M. State change and entropies in quantum dynamical systems. In Quantum Probability and Applications II; Springer: Berlin/Heidelberg, Germany, 1985; Volume 1136, pp. 397–408. [Google Scholar]
- Ohya, M. Quantum ergodic channels in operator algebras. J. Math. Anal. Appl. 1981, 84, 318–327. [Google Scholar] [CrossRef]
- Watanabe, N. Note on entropies for compound systems. Open Syst. Inf. Dyn. 2015, 22, 1550001–1550021. [Google Scholar] [CrossRef]
- Accardi, L.; Ohya, M. Compound Channels, Transition Expectations, and Liftings. Appl. Math. Optim. 1999, 39, 33–59. [Google Scholar] [CrossRef]
- Fichtner, K.H.; Freudenberg, W.; Liebscher, V. Beam Splittings and Time Evolutions of Boson Systems. Available online: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.139.3375&rep=rep1&type=pdf (accessed on 5 March 2020).
- Schatten, R. Norm Ideals of Completely Continuous Operators; Springer: Berlin, Germany, 1970. [Google Scholar]
- Levitin, L.B. Information Theory for Quantum Systems. In Information, Complexity and Control in Quantum Physics; Blaquiere, A., Diner, S., Lochak, G., Eds.; Springer: Wien, Austria, 1987; pp. 15–47. [Google Scholar]
- Holevo, A.S. Some estimates for the amount of information transmittable by a quantum communication channel. Probl. Predachi Inf. 1973, 9, 3–11. (In Russian) [Google Scholar]
- Barnum, H.; Nielsen, M.A.; Schumacher, B.W. Information transmission through a noisy quantum channel. Phys. Rev. A 1998, 57, 4153–4175. [Google Scholar] [CrossRef]
- Bennett, C.H.; Shor, P.W.; Smolin, J.A.; Thapliyalz, A.V. Entanglement-Assisted Capacity of a Quantum Channel and the Reverse Shannon Theorem. IEEE Trans. Inf. Theory 2002, 48, 2637–2655. [Google Scholar] [CrossRef]
- Schumacher, B.W. Sending entanglement through noisy quantum channels. Phys. Rev. A 1996, 54, 2614. [Google Scholar] [CrossRef]
- Schumacher, B.W.; Nielsen, M.A. Quantum data processing and error correction. Phys. Rev. A 1996, 54, 2629. [Google Scholar] [CrossRef] [PubMed]
- Shor, P. The Quantum Channel Capacity And Coherent Information. In Proceedings of the MSRI Workshop on Quantum Computation, Berkeley, CA, USA, 12 August–20 December 2002; pp. 1–17. [Google Scholar]
- Ohmura, K.; Watanabe, N. Quantum Dynamical Mutual Entropy Based on AOW Entropy. Open Syst. Inf. Dyn. 2019, 26, 1950009. [Google Scholar] [CrossRef]
- Watanabe, N.; Muto, M. Note on transmitted complexity for quantum dynamical systems. Philos. Trans. R. Soc. 2017, 375, 20160396-1–20160396-16. [Google Scholar] [CrossRef] [PubMed]
- Watanabe, N. Efficiency of optical modulations with coherent states. Springer Lect. Notes Phys. 1991, 378, 350–360. [Google Scholar]
© 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).