Abstract
Quantum technologies rely on the ability to coherently transfer information encoded in quantum states along quantum channels. Decoherence induced by the environment sets limits on the efficiency of any quantumenhanced protocol. Generally, the longer a quantum channel is the worse its capacity is. We show that for nonMarkovian quantum channels this is not always true: surprisingly the capacity of a longer channel can be greater than of a shorter one. We introduce a general theoretical framework linking nonMarkovianity to the capacities of quantum channels and demonstrate how harnessing nonMarkovianity may improve the efficiency of quantum information processing and communication.
Introduction
The description of quantum systems interacting with their environment is the central objective of the theory of open quantum systems^{1}. During the last few years there has been an increasing interest in open quantum systems with memory, also known as nonMarkovian open quantum systems^{2,3,4,5,6,7,8,9,10,11,12}, due to both fundamental and applicative reasons. From a fundamental point of view the study of quantum systems interacting with structured environments, while presenting considerable difficulties from a theoretical point of view, is of crucial importance for the realistic description of a variety of physical systems such as photonic band gap materials, quantum biological systems and complex quantum networks, solid state systems (e.g., SQUIDs and Josephson junctions) and ultracold gases. From an applicative point of view, the increasing ability in reservoir engineering techniques paves the way to new methods of decoherence control based on the manipulation and modification of properties of the environment such as its frequency spectrum^{13,14,15}.
NonMarkovianity is a multifaceted and complex phenomenon that cannot be simply grasped by looking at specific instances and cannot be generally traced back to a single unique feature of the environment. Several measures of nonMarkovianity have been introduced, based on distinguishability of quantum states as measured by trace distance^{3} or fidelity^{4}, semigroup property^{5} or divisibility^{6} of the dynamical map, Fisher information^{7}, or quantum mutual information^{8}. In general these measures or witnesses do not coincide and examples of differences between them have been reported even for simple open quantum systems^{16}. This is an obvious consequence of the fact that reservoir memory may have different effects on different dynamical properties that one may want to harness for certain specific purposes. Rather than being a problematic aspect, we believe that this richness and variety constitutes the power of nonMarkovian open quantum systems.
Very recently the role of structured environments and nonMarkovianity in quantum metrology^{17}, quantum key distribution^{18}, quantum teleportation^{19}, entanglement generation^{20}, optimal control^{21} and quantum biology^{22,23}, has started to be investigated, showing with increasing evidence that nonMarkovian quantum channels may be advantageous compared to Markovian ones. However, to date there is no general theory linking nonMarkovian dynamics with an increase in the efficiency of quantum information processing and communication^{24}. This is exactly the scope of this Letter. Our main result is the identification of specific features of nonMarkovianity that lead to an increase in the capacities of quantum channels compared to the corresponding Markovian ones. We emphasize the overlooked connection between the data processing inequality and the divisibility of the dynamical map and explore this relation to reveal the key signature of nonMarkovianity. Our approach establishes a link between the reservoir memory effects and the variation in the entropy of the system and of the environment, paving the way to a description of reservoir memory in terms of information flow and exchange between the system and the environment.
Results
Quantum capacities
The general scenario typical of quantum information processing and communication sees Alice and Bob at the opposite ends of a quantum channel, the former sending information (classical or quantum) and the latter receiving it. The maximum amount of information that can be reliably transmitted along a noisy quantum channel is known as the channel capacity. In this Letter we will be concerned with two types of capacities, the entanglementassisted classical capacity C_{ea} and the quantum capacity Q^{25}. The first quantity sets a bound on the amount of classical information that can be transmitted along a quantum channel when one allows Alice and Bob to share an unlimited amount of entanglement. It is defined in terms of the quantum mutual information I(ρ, Φ_{t}) between the input and the output of the channel
where I(ρ, Φ_{t}) = S(ρ) + S(Φ_{t}ρ) − S(ρ, Φ_{t}), with S(ρ) = −tr(ρ ln ρ) the von Neumann entropy of the input state, S(Φ_{t}ρ) the entropy of the output state and the entropy exchange, i.e., the entropy at the output of the complementary channel ^{25}. We indicate with Φ_{t} the dynamical map describing the quantum evolution of a generic open quantum system. The dynamical map defines a family of quantum channels for t ≥ 0, such that . If ρ is the initial state of the system, then Φ_{t}ρ defines the state at time t that tells us for how long the quantum state, encoding classical or quantum information, is subjected to environmental noise. In experimental implementations of quantum protocols, e.g. with trapped ion systems, t is the duration of the experiment and it is obviously connected to the length of the channel, i.e. the length of an optical fiber in optical systems. The quantum capacity Q, on the other hand, gives the limit to the rate at which quantum information can be reliably sent down a quantum channel. For single use of the channel, it is defined in terms of the coherent information I_{c}(ρ, Φ_{t}) as follows^{27}
with I_{c}(ρ, Φ_{t}) = S(Φ_{t}ρ) − S(ρ, Φ_{t}). More in general, the quantum channel capacity is defined as , where ρ_{n} is the density matrix describing the sequence of states sent through the channel and the maximum is performed over all input states of n successive channel uses^{25}. We note that, contrarily to the entanglementassisted classical capacity, the quantum channel capacity is in general not additive. However, for degradable channels^{28}, the general definition coincides with Eq. (2) and additivity holds.
Capacitybased nonMarkovianity measures
One of the central results of quantum information theory is the quantum data processing inequality^{29} which, intuitively, says that processing quantum information reduces the amount of correlations between input and output. More precisely, given the quantum channels , and their concatenation , we have . For divisible channels Φ_{t} = Φ_{t}_{,s}Φ_{s}, with s ≤ t, the data processing inequality implies I_{c}(ρ, Φ_{t}) ≤ I_{c}(ρ, Φ_{s}). A similar inequality holds for the mutual information, i.e. I(ρ, Φ_{t}) ≤ I(ρ, Φ_{s}). As a consequence, for divisible quantum channels, both the entanglementassisted classical capacity C_{ea}(Φ_{t}) and the quantum capacity Q(Φ_{t}) decrease monotonically with time. There exist, however, physical dynamical maps that cannot be written as concatenation of two completely positive trace preserving (CPTP) channels Φ_{t}_{,s} and Φ_{s}. For these systems, the coherent information and the mutual information may not simply decrease monotonically in time. Here we claim that this very concept is at the basis of the information theoretic approach to nonMarkovianity.
It is worth stressing that throughout the paper we discuss nonMarkovian dynamics as arising from the interaction between the system and a physical environment with certain spectral features. However, we assume that the channel Φ_{t} is memoryless in the sense of the definition typically used in quantum information theory^{26}. More precisely, one should remember that when describing information transmission one considers not just the dynamics of a single system, but of sequences of systems each interacting with the environment. Here we assume that the environment acts identically and independently on each element of the sequence, so in this sense the channel is memoryless. However, we assume that the dynamics of each system in the sequence is nonMarkovian due to nonnegligible systemenvironment correlations. In this typical open quantum systems scenario we associate the dynamical nonMarkovianity to reservoir memory effects^{1}.
All existing measures of nonMarkovianity^{3,4,5,6,7,8} are based on nonmonotonic behaviour of certain quantities occurring when the divisibility property is violated. Following the same line of reasoning, we define here two new measures of nonMarkovianity based on the nonmonotonic behavior of the quantum and entanglementassisted classical capacities,
and
where the integrals above are extended to all time intervals over which dQ/dt and dC_{ea}/dt are positive.
Our new measures allow for the interpretation of reservoir memory effects in terms of back flow of the maximum amount of quantum (classical) accessible information on the initial state, after the state has been subjected to a noisy channel for a certain time. Remarkably, since both coherent information and quantum mutual information connect the entropy of the open quantum system S(Φ_{t}ρ) (hence its information content) to the variation in entropy of the environment S(ρ, Φ_{t}), our measures effectively describe reservoir memory in terms of exchange of information, or information flow, between system and environment. This is not the case for the other nonMarkovianity measures^{3,4,5,6,7} where a link between information on the system and on the environment does not exist.
It it worth noting that the two measures of nonMarkovianity introduced above, in general, do not coincide even for degradable channels and in fact they distinguish between two different types of resources, being related to revivals of correlations which can be used to transfer either classical information or quantum information down a quantum channel.
Generally, nonMarkovianity measures quantify a property of the dynamical map and are, therefore, defined by optimizing over all initial states of the system. This optimization problem makes it virtually impossible to evaluate (even numerically) their value for more than 2 qubits. As the effects of decoherence notably increase dramatically for increasing qubits numbers n, it is crucial to be able to evaluate the advantages of nonMarkovianity for any n. A very important feature of and is that, due to the additivity of Q (for degradable channels) and C_{ea}, they satisfy the property , which allows us to calculate straightforwardly the nonMarkovianity measure of n qubits in identical uncorrelated environments from the nonMarkovianity measure of a single qubit.
An analysis of nonMarkovianity in the framework of resource theory is beyond the scope of this Letter. However, we claim here that nonMarkovianity can be a resource in the sense that it may allow tasks (reliably transmitting information for longer distances) that are impossible in its absence. We take here a more physical approach than the general information theoretic one. We indeed start from the assumption that every quantum system interacts with a physical environment, whose characteristics depend on the specific physical context considered. The presence of the environment is unavoidable, but it is possible to modify some of its properties, e.g. its frequency spectrum, by means of reservoir engineering techniques. In this context Markovian dynamics, i.e., exponential decay of population or coherences, is always an approximation of the exact dynamics. Such an approximation, nonetheless, describes accurately the time evolution on a coarse grained timescale, for certain open quantum systems. By means of reservoir engineering we can induce nonMarkovianity in time scales or distances appreciable in the experiments. More precisely, in this way one can change an otherwise Markovian dynamics into a nonMarkovian one and, as a consequence, find better conditions for quantum communication purposes as measured by channel capacities.
Markovian dynamical maps, characterized by constant positive decoherence rates, generally lead to irretrievable deterioration of the channel capacity as the length of the channel increases. On the contrary nonMarkovian dynamical maps charactertized by timedependent decoherence rates may lead to (i) increase of the channel capacities for a given channel length, (ii) revivals of the channel capacities, hence increasing the values of channel lengths over which the capacities are non zero, (iii) lengthindependent finitecapacity channels (residual channel capacity), i.e., channels for which the quantum and/or entanglementassisted classical capacity remains unchanged and positive, after a certain threshold length.
In order to compare Markovian and nonMarkovian channel capacities a few important remarks are in order. In the spirit of reservoir engineering, when we talk of Markovian dynamical map corresponding to a nonMarkovian one, we mean the map obtained for values of the system and environment characteristic parameters such that reservoir memory effects are negligible after a short initial time scale. This is the regime in which a coarse grained timeevolution would be correctly describe by a Markovian dynamical semigroup. Often this Markovian regime requires a weak systemreservoir coupling assumption. Hence, the coherences are initially maintained for longer compared to the nonMarkovian regime in which the coupling is stronger. However, they always inevitably decay exponentially while in the nonMarkovian case, due to reservoir memory effect, phenomena (i)–(iii) may occur. Hence there will often be a threshold after which the channel capacities in the nonMarkovian regime are higher than in the corresponding Markovian regime.
It is worth noticing, however, that dynamical maps arising from a microscopic description do not necessarily admit a Markovian limit for all values of the parameters. This, e.g., occurs in some of the examples considered below. Hence, generally, our focus will be on showing how reservoir engineering allows to improve quantum communication protocols, pointing out if and when this is connected to information back flow as indicated by or .
In the following we will illustrate these points by looking at three exemplary types of exact and therefore nonMarkovian, quantum channels: the dephasing channel, the amplitude damping channel in a Lorentzian environment and the amplitude damping channel in a photonic band gap.
Example 1  pure dephasing
Let us begin by considering the dephasing channel for a qubit described by a master equation with dissipator , with γ(t) the timedependent decoherence rate. The density matrix evolves in time according to the equations ρ_{ij}(t) = ρ_{ij}e^{−Γ(t)} and ρ_{ii}(t) = ρ_{ii},
where and ρ_{ij} are the density matrix elements of the initial state ρ.
Note that γ(t) needs not be positive. If γ(t) ≥ 0, then the channel is divisible.
The dephasing channel is degradable for all admissible γ(t), i.e. whenever Γ(t) ≥ 0. This simplifies the calculations of the quantum capacity. Indeed, we find that Q takes a simple analytical formulae^{28}, i.e., Q^{D}(t) = 1 − H_{2}[(1 + e^{−Γ(t)})/2], with H_{2}[.] the binary Shannon entropy. Since the measure is nonvanishing if and only if γ(t) < 0, i.e., whenever the dynamical map is nondivisible. A similar calculation for the entanglementassisted classical capacity shows that . It follows immediately that . For dephasing channels all known measures of nonMarkovianity vanish if and only if the channel is divisible.
In Fig. 1 we show the behavior of the quantum channel capacity Q^{D} as a function of time or, equivalently, of the channel length for the exact model of dephasing of Ref. 30, with Ohmic reservoir spectrum of the form , with ω_{c} the cutoff frequency, γ_{M} the coupling constant and s the Ohmicity parameter. For zero temperature bosonic environments the dynamical map is divisible if and only if 0 < s ≤ 2^{31}. We can change the nonMarkovian character of the channel by changing the Ohmicity paramter s. This can be experimentally implemented, e.g., with impurities in ultracold atomic gases as demonstrated in Ref. 32.
Note that in this system the dynamics does not admit a Markovian limit for s ≥ 1 as, in this case, the dephasing rate γ(t) vanishes for . On the contrary, for 0 < s < 1, after a time of the order of , the dephasing rate reaches a constant positive value and the coherences start decaying exponentially. In Fig. 1 we compare the nonMarkovian dynamics obtained for s = 3 (blue line) to the case s = 1 where the system behaves in a Markovian way for ω_{c}t > 1 (red line). We see here that, for longer times the nonMarkovian case is preferable over the Markovian one and that the latter leads to vanishing Q_{d}. We highlight two important features of the nonMarkovian character of the quantum channel, namely, the nonmonotonicity of Q^{D}, which initially decreases with time but then starts increasing again after a certain threshold value of time or channel length and the existence of residual quantum channel capacity. The connection between stationary coherences leading to channel capacity trapping and nonMarkovianity has been discussed in Ref. 33.
The dephasing model here discussed can be implemented experimentally in the context of ultracold atomic gases. In Ref.34 the pure dephasing master equation is derived starting from a microscopic systemenvironment model describing cold atoms in superlattices (open system) immersed in a harmonically trapped BoseEinstein condensate (BEC) acting as an environment. Collisions between the BEC atoms and the atoms in the optical lattice lead to decoherence phenomena that, under certain conditions, can be described as pure dephasing. More precisely purely dephasing dynamics occurs when the BEC can be considered homogeneous (shallow harmonic trap) and weakly interacting and when tunnelling between the two wells forming the doublewell potential of the superlattice is neglected. NonMarkovianity in this model has been studied in Ref. 32 where it has been shown that by changing the BEC scattering length and the dimensionality of the gas one can engineer different types of both Markovian and nonMarkovian environments. Generally increasing the BEC scattering length, i.e., the strength of interactions within the BEC, leads to an increase in nonMarkovianity of the system. The low frequency part of the spectrum in this system is of the Ohmic form with s = 1 + D for weakly interacting gases, with D the dimensionality of the BEC^{34}. Since here s ≥ 2 always, in this system we will always observe the onset of stationary coherences leading to the channel capacity trapping observed in Fig. 1.
Example 2  amplitude damping
The second example we consider is the qubit amplitude damping channel described by
where G(t) satisfies the nonlocal equation with initial condition G(0) = 1 and f(t) is the reservoir correlation function which is related via Fourier transform to the spectral density J(ω). This model describes the dissipative interaction between a twolevel system and a zerotemperature bosonic reservoir, leading to an exact master equation of the form^{1}
with and the timedependent Lamb shift and decay rate, respectively and σ_{±} the spin inversion operators.
The amplitude damping channel is degradable for , while for is antidegradable with zero quantum capacity. The states optimizing I_{c}(ρ, Φ_{t}) and I(ρ, Φ_{t}) are now timedependent, but the optimization problem is still solvable. One finds^{35,36} the following formulae for the entanglement assisted capacity
and the quantum capacity
for (otherwise ).
Lorentzian Spectrum
We begin by considering a Lorenztian spectrum of the form J(ω) = γ_{M}λ^{2}/2π[(ω − ω_{c})^{2} + λ^{2}], with λ the width of the Lorentzian, ω_{c} its peak frequency and γ_{M} an effective coupling constant. In the resonant case δ = ω_{0} − ω_{c} = 0, with ω_{0} the qubit frequency, the function G(t) takes a simple form
with , R = γ_{M}/λ and τ = λt. In the weak coupling regime, i.e. for 2R ≤ 1, G(t) is monotonically decreasing, whereas in the strong coupling regime, 2R > 1, G(t) is oscillating so there are periods when is positive. It is straightforward to show that γ(t) ≥ 0 for 2R ≤ 1, while it can take temporarily negative values for 2R > 1. In the latter case the dynamical map is not divisible. However, due to the fact that the amplitude damping channel is antidegradable for 2G(t)^{2} < 1, from a quantum information processing point of view, only revivals that occur in the region 2G(t)^{2} > 1 are important.
This example is very useful to illustrate the subtleties of the comparison between the Markovian and the nonMarkovian regimes. To reduce the nonMarkovian character of the map we can use two strategies (or more generally a combination of them). The first and obvious one is to consider the limit , corresponding to a flat and weakly coupled spectrum. If we compare this Markovian regime, for , to the nonMarkovian one obtained when , we will find that generally the channel capacities are higher in the Markovian case. This is, however, obvious. The more we reduce the coupling with the environment, the better is the resulting channel for quantum communication purposes. A more interesting situation occurs if we assume that we cannot change λ/γ_{M} but we can instead change the detuning δ. In this case, the more detuned is the system, the longer the qubit populations tend to oscillate. As a consequence nonMarkovianity can increase for increasing detunings, leading to better and better values of the quantum channel capacity, as shown in Fig. 2. More precisely the increased values of Q(t) for increased detunings are due to both a reduction in the amount of information lost into the environment (smaller effective coupling to the environment) and to an increase in the information backflow as indicated by the appearance of new oscillations. In this sense nonMarkovianity, describing information backflow, certainly plays a role in the behaviour of the quantum channel capacity displayed in Fig. 2.
It is interesting to highlight the differences between the entanglementassisted capacity and the quantum capacity Q^{A} in the amplitude damping model here considered. In Fig. 3 we plot and Q^{A} for two different values of R in the strong (R = 10) and ultrastrong (R = 100) coupling regimes. For these values of parameters the dynamical map is always nondivisible and, hence, all the previously introduced nonMarkovianity measures^{3,5,6,7,8,9} are nonzero. However, in Fig. 3 we see that, while C_{ea} always exhibits revivals, i.e. decreases monotonically eventually vanishing for R = 10, where . Revivals of occurs only in the ultrastrong coupling regime. This example shows the difference between the two capacitybased measures introduced in this Letter. The careful reader will not be surprised by this result. We should expect indeed that the transmission of quantum information along a quantum channel is more sensitive to noise than the transmission of classical information (although assisted by entanglement shared between Alice and Bob).
Photonic Band Gap
Also the second example of amplitude damping channel stems, as the previous one, from an exact microscopic model of an open quantum system. The environment is a bosonic zero temperature threedimensional periodic dielectric with isotropic photon dispersion relation. In this ideal photonic crystals, a photonic band gap is the frequency range over which the local density of electromagnetic states and the decay rate of the atomic population of the excited state vanish. Near the band gap edges the density of states becomes singular, the atomfield interaction becomes strong and one can expect modifications to the spontaneous emission decay. We consider the model described in Ref. 37. In this case the function G(t)^{2} depends on two relevant parameters, the detuning δ = ω_{0} − ω_{e} from the band gap edge frequency ω_{e} and the parameter β defined as with the Coulomb constant and d the atomic dipole moment. Population trapping is a general feature of this model. The farther the atomic transition frequency is from ω_{e} and inside the gap, the higher is the fraction of initial state population which is trapped in the excited state for t → ∞. This in turn gives rise to stationary values of the quantum and classical capacities as we can see for Q_{A} in Fig. 4. The opposite regime is when the qubit frequency falls outside the gap and far from the edge ω_{e}, in which case a fast Markovian exponential decay typical of atomic spontaneous emission occurs and the channel capacities vanish very rapidly. Here it is clear that, for this system, increasing nonMarkovianity one obtains better an better values of channel capacities because of the increasingly effective population trapping, as shown in Fig. 4.
We conclude noticing that for amplitude damping channels the nonMarkovianity measures associated to Q and C_{ea}, defined in Eqs. (3)–(4), are not simply related. In general and the entanglementassisted classical capacity shows similar features to the ones that we have seen for the quantum capacity. Finally, we note that, for the amplitude damping channel, there exist values of parameters for which the nonMarkovianity measures of Refs. 3,6 are non zero, but still , proving that these measures in general are not equivalent.
Discussion
In the quest for realistic large scale implementations of quantum devices for quantum technologies one of the major existing challenges is the identification of ways to increase both the distance over which quantum information is reliably transferred and distributed and the coherence times of quantum information processing. The results presented in this article demonstrate that careful manipulation of the environmental properties based on the exploitation of environmental memory effects and nonMarkovianity can be generally used to induce revivals of classical and quantum capacities as well as for engineering distance (or time)independent values of these quantities. This means that, in certain situations, reservoir memory effects may be exploited to improve realistic error correction schemes working for any channel length. In this sense our results prove that nonMarkovianity is a new and yet unexplored resource for quantum technologies, with the potential to pave the way to realscale quantumenhanced devices.
Methods
Dephasing Channel: Dynamical map and its capacity
The dephasing channel (dynamical map) for a qubit is described by the local in time master equation
with the following local generator
and timedependent dephasing rate γ(t).
This generator and the corresponding master equation, can be derived exactly from the following microscopic Hamiltonian description of system (noisy channel) plus environment
with ω_{0} the qubit frequency, ω_{k} the frequencies of the reservoir modes, the annihilation (creation) operators of the bosonic environment and g_{k} the coupling constant between each reservoir mode and the qubit. In the continuum limit , where J(ω) is the reservoir spectral density.
The action of the dynamical map on a qubit is described by the following formula
where ρ_{ij} are the density matrix elements of the initial state ρ. One easily finds the operatorsum representation with the timedependent Kraus operators: and , where . While γ(t) may temporarily attain negative values, complete positivity of the dynamical map imposes that Γ(t) ≥ 0. We note in passing that the usual Markovian quantum channel for pure dephasing can be written in terms of Kraus operators having the same operatorial form as those reported above, provided one replaces Γ(t) with γ_{M}t.
Using the Kraus operators one can write the complementary map, needed to calculate both the coherent information and the entropy exchange which appears in the definition of the mutual information of the channel, as follows:
The dephasing channel is degradable for all values of Γ(t), which simplifies the calculations of the quantum capacity. In this case, indeed, we find that the state optimizing the coherent information in the definition of the quantum capacity does not depend either on time or on the specific properties of the environmental spectrum. Having this in mind one can show that Q takes the following simple analytical formula
with H_{2}(.) the binary Shannon entropy. Since
the measure has nonzero value if and only if γ(t) < 0, i.e., whenever the dynamical map Φ_{t} is not divisible.
Amplitude damping channel: Dynamical map and its capacity
The amplitude damping channel is described by the exact local generator given in Eq. (6). The local generator and corresponding master equation can be derived exactly by the following microscopic Hamiltonian model describing a twostate system interacting with a bosonic quantum reservoir at zero temperature^{1}
The generator of the Markovian amplitude damping channel has the same form of Eq.(6), provided that one replaces the time dependent coefficients s(t) and γ(t) with positive constant values s_{M} and γ_{M}. It is worth noticing that Markovian quantum channels are always approximations of exact (and therefore nonMarkovian) ones, hence they generally describe only a restricted number of physical systems and processes for which these approximations are valid.
The Kraus representation for the amplitude damping channel is given by and which gives us a complementary map defined by:
From the expression of the complementary map one obtains the entanglement assisted and quantum channel capacities of Eqs. (7)–(8).
If the reservoir spectral density has a Lorenztian shape, i.e. J(ω) = γ_{M}λ^{2}/2π[(ω − ω_{c})^{2} + λ^{2}], then the function G(t) takes the form
with
where w = γ_{M}λ/2 + δ^{2}/4 and δ = ω_{0} − ω_{c}. For δ = 0, one obtains Eq. (16).
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Acknowledgements
The authors thank Shashank Virmani, Chiara Macchiavello and Pinja Haikka for valuable discussions on the topic of the Letter. B.B. thanks the Institute of Photonics and Quantum Sciences at HeriotWatt University, Edinburgh, where part of this work was done, for the hospitality and acknowledges financial support form the Finnish Emil Aaltonen Foundation and the National Science Center project 2011/01/N/ST2/00393. D.C. was partially supported by the National Science Center project DEC2011/03/B/ST2/00136.
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B.B, D.C. and S.M. contributed equally to the paper.
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Bylicka, B., Chruściński, D. & Maniscalco, S. NonMarkovianity and reservoir memory of quantum channels: a quantum information theory perspective. Sci Rep 4, 5720 (2015). https://doi.org/10.1038/srep05720
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