Measure for the Non-Markovianity of Quantum Processes

Size: px
Start display at page:

Download "Measure for the Non-Markovianity of Quantum Processes"

Transcription

1 Measure for the Non-Markovianity of Quantum Processes Elsi-Mari Laine 1, Jyrki Piilo 1, an Heinz-Peter Breuer 1 Turku Center for Quantum Physics, Department of Physics an Astronomy, University of Turku, FI-14, Turun Yliopisto, Finlan Physikalisches Institut, Universität Freiburg, Hermann-Herer-Strasse 3, D-7914 Freiburg, Germany (Date: June 16, 1) Recently, a measure for the non-markovian behavior of quantum processes in open systems has been evelope which is base on the quantification of the flow of information between the open system an its environment [Phys. Rev. Lett. 13, 141 (9)]. The information flow is connecte to the rate of change of the trace istance between quantum states which can be interprete in terms of the istinguishability of these states. Here, we elaborate the mathematical etails of this theory, present applications to specific physical moels, an iscuss further theoretical an experimental implications, as well as relations to alternative approaches propose recently. arxiv:1.583v [quant-ph] 15 Jun 1 PACS numbers: 3.65.Yz, 3.65.Ta, 4.5.Lc I. INTRODUCTION A Markov process in the evolution of an open quantum system typically gives rise to a quantum ynamical semigroup for which the most general representation can be written in the Linbla form [1, ]. There exist however complex systems for which this relatively simple escription of the open system ynamics in terms of a Markovian master equation fails to give a comprehensive picture of the ynamics [3]. Thus in many realistic physical systems the Markovian approximation of the ynamics gives an overly simplifie picture of the open system evolution an a more rigorous treatment of the ynamics is require. To give insights into the nature of non-markovian effects many analytical methos an numerical simulation techniques have been evelope in recent years (see, for example, Refs. [4 17]). Non-Markovianity manifests itself in the ifferent approaches in a variety of ways an there exists no general recipe for comparing the egree of non-markovianity in ifferent physical moels. In orer to give a general quantity etermining the egree of non- Markovian behavior in the open system ynamics, one has to rigorously efine what makes a ynamical map non-markovian. Here, we iscuss a recently propose measure for the egree of non-markovian behavior which is base on the trace istance between quantum states [18]. The trace istance escribes the probability of successfully istinguishing two quantum states an the change in the trace istance of two open system states can be interprete as a flow of information between the system an the environment. When the trace istance ecreases information flows from the system into the environment, while an increase of the trace istance signifies a backflow of information from the environment to the system. Markovian Electronic aress: emelai@utu.fi Electronic aress: jyrki.piilo@utu.fi Electronic aress: breuer@physik.uni-freiburg.e processes ten to continuously ecrease the istinguishability between any two states of the open system, i.e., information flows continuously from the system to the environment. The conition which efines a non-markovian ynamical map is that the map allows an information flow from the environment to the system an, therefore, allows the system to gain information about its former state. This conition for a non-markovian map leas to a rigorous an general efinition of a measure for the egree of non-markovianity in open quantum systems. In Sec. II we construct the measure for non- Markovianity an iscuss its properties for some general classes of quantum processes in open systems. It is shown that the non-ivisibility of the ynamical map is necessary for the process to be non-markovian. Hence, the measure vanishes for quantum ynamical semigroups an for time-epenent Markov processes. We also emonstrate that the appearance of negative rates in the quantum master equation is a necessary conition for non- Markovianity. In Sec. III we illustrate the etermination of the measure for a two-level system an for a Λ-type atom in a cavity. Section IV contains a etaile iscussion of several alternative ways for efining a measure for non-markovianity. Moreover, we present possible experimental strategies for the etection of non-markovian effects. The conclusions are rawn in Sec. V. II. THE MEASURE FOR NON-MARKOVIANITY A. Construction of the measure To construct the measure for non-markovianity we nee a measure for the istance between any pair of quantum states represente by ensity matrices ρ 1 an ρ. Such a measure is given by the trace istance, which is efine as D(ρ 1, ρ ) = 1 Tr ρ 1 ρ, (1)

2 where the moulus of an operator A is efine by A = A A. The trace istance D yiels a natural metric on the state space an satisfies D 1. It has many nice properties that make it a useful measure for the istance between quantum states [19]. First, the trace istance is preserve uner unitary transformations U, D(Uρ 1 U, Uρ U ) = D(ρ 1, ρ ). () Secon, all completely positive an trace preserving (CPT) maps Φ (trace preserving quantum operations) are contractions for this metric, D(Φρ 1, Φρ ) D(ρ 1, ρ ). (3) Thir, the trace istance has a physical interpretation as a measure of state istinguishability. Suppose Alice prepares a quantum system in the state ρ 1 with probability 1/, an in the state ρ with probability 1/. She gives the system to Bob, who performs a measurement to istinguish the two states. The maximal probability that Bob can ientify the state given to him is [] p max = 1 [1 + D(ρ 1, ρ )]. (4) Hence, the trace istance represents the maximal bias in favor of the correct state ientification which Bob can achieve through an optimal strategy. For example, if ρ 1 an ρ have orthogonal supports the trace istance becomes D(ρ 1, ρ ) = 1 an thus p max = 1, which means that Bob is able to istinguish the states with certainty. The change in the istinguishability of states of an open system can be interprete as a flow of information between the system an the environment. We consier here quantum processes given by a ynamical CPT map Φ(t, ) which transforms the initial states ρ() at time zero to the states ρ(t) at time t, ρ() ρ(t) = Φ(t, )ρ(). (5) When such a quantum process reuces the istinguishability of states, information is flowing from the system to the environment. Likewise, the increase of the istinguishability signifies that information flows from the environment to the system. The invariance uner unitary transformations () inicates that information is preserve uner the ynamics of close systems. The contraction property of Eq. (3) guarantees that the maximal amount of information the system can recover from the environment is the amount of information earlier flowe out the system. The basic iea unerlying our construction for the measure of non-markovianity in a quantum process is that for Markovian processes information flows continuously from the system to the environment. In orer to give rise to non-markovian effects there must be, for some interval of time, an information flow from the environment back to the system. The information flowing from the environment back to the system allows the earlier states of the system to have an effect on the later ynamics of the system, i.e., it allows the emergence of memory effects. We efine the rate of change of the trace istance of a pair of states by means of σ(t, ρ 1, ()) = t D(ρ 1(t), ρ (t)), (6) where ρ 1, (t) = Φ(t, )ρ 1, (). For a non-markovian process escribe by a ynamical map Φ(t, ), information must flow from the environment to the system for some interval of time an thus we must have σ > for this time interval. A measure of non-markovianity shoul measure the total increase of istinguishability over the whole time evolution, i.e., the total amount of information flowing from the environment back to the system. This suggests efining the measure N (Φ) for the non- Markovianity of the quantum process Φ(t, ) through N (Φ) = max tσ(t, ρ 1, ()). (7) ρ 1,() σ> The time integration is extene over all time intervals (a i, b i ) in which σ is positive an the maximum is taken over all pairs of initial states. Due to Eq. (6) the measure can be written as N (Φ) = max ρ 1,() [D(ρ 1 (b i ), ρ (b i )) D(ρ 1 (a i ), ρ (a i ))]. i (8) To calculate this quantity one first etermines for any pair of initial states the total growth of the trace istance over each time interval (a i, b i ) an sums up the contribution of all intervals. N (Φ) is then obtaine by etermining the maximum over all pairs of initial states. While it may be ifficult to erive an analytical expression for the measure efine in Eq. (8), the numerical evaluation of the measure is relatively easy provie the ynamical map is known explicitly. We will iscuss in Sec. III the etermination of N (Φ) for some specific examples. B. Classification of quantum processes Having efine our measure for non-markovianity we iscuss in this section the properties of this measure for some general classes of quantum processes. Specific physical systems will be investigate in Sec. III. 1. Divisible maps The ynamical map Φ(t, ) is efine to be ivisible if for all t, τ the CPT map Φ(t+τ, ) can be written as composition of the two CPT maps Φ(t + τ, t) an Φ(t, ), Φ(t + τ, ) = Φ(t + τ, t)φ(t, ). (9) We note that this efinition iffers slightly from the usual efinition of ivisibility accoring to which a CPT map

3 3 Λ (quantum channel) is sai to be ivisible if there exist CPT maps Λ 1 an Λ such that Λ = Λ 1 Λ, where it is assume that neither Λ 1 nor Λ is a unitary transformation [1]. In Eq. (9) the left-han sie as well as the secon factor on the right-han sie are fixe by the given ynamical map. Hence, Eq. (9) requires the existence of a certain linear transformation Φ(t + τ, t) which maps the states at time t to the states at time t + τ an represents a CPT map (that may be a unitary transformation) for all t an all τ. There are many quantum processes which are not ivisible. For instance, if Φ(t, ) is not invertible, a linear map Φ(t + τ, t) which fulfills Eq. (9) may not exist. Moreover, even if a linear map Φ(t + τ, t) satisfying Eq. (9) oes exist, this map nees not be completely positive, an not even positive. We claim that all ivisible ynamical maps are Markovian. To prove this statement suppose that Φ(t, ) is ivisible. For any pair of initial states ρ 1, () we then have ρ 1, (t + τ) = Φ(t + τ, t)ρ 1, (t). (1) Since Φ(t + τ, t) is a CPT map we can apply the contraction property (3) to obtain: D(ρ 1 (t + τ), ρ (t + τ)) D(ρ 1 (t), ρ (t)). (11) This shows that for all ivisible ynamical maps the trace istance ecreases monotonically, i.e., σ(t, ρ 1, ()) an, therefore, N (Φ) =. Thus, we conclue that all ivisible processes are Markovian an that non-markovian processes must necessarily be escribe by a nonivisible ynamical map.. Quantum ynamical semigroups The prototype of a Markovian ynamics is provie by a Markovian master equation for the ensity matrix, ρ(t) = Lρ(t), (1) t with a generator in Linbla form [1, ] Lρ = i[h, ρ] + [ γ i A i ρa i 1 { A i A i, ρ} ], (13) i involving a time-inepenent Hamiltonian H as well as time-inepenent Linbla operators A i an positive ecay rates γ i. Such a master equation leas to a ynamical semigroup of CPT maps, Φ(t, ) = exp(lt). With Φ(t + τ, t) = exp(lτ) the ivisibility conition (9) is trivially satisfie. Hence, we have N (Φ) = for all ynamical semigroups, i.e., for all processes escribe by a master equation in the Linbla form. 3. Time-epenent Markov processes The ivisibility property hols for a much larger class of quantum processes than those escribe by a master equation of the form (1). Suppose we have a time-local master equation of the form ρ(t) = K(t)ρ(t) (14) t with a time-epenent generator K(t). It can be shown that in orer to preserve the Hermiticity an trace of the ensity matrix this generator must be of the form [1, 8] K(t)ρ = i [H(t), ρ] (15) + [ γ i (t) A i (t)ρa i (t) 1 { A i (t)a i(t), ρ} ]. i By contrast to the assumptions in Eq. (13) the Hamiltonian H(t), the Linbla operators A i (t) an the ecay rates γ i (t) may now epen on time. If the ecay rates are positive functions, γ i (t), the generator (15) is in Linbla form (13) for each fixe t. Such a process with γ i (t) may be calle time-epenent Markovian although the corresponing ynamical map [ ] Φ(t, ) = T exp t K(t ) (16) oes not yiel a ynamical semigroup (T enotes the chronological time-orering operator). However, one can easily see that the ivisibility conition (9) still hols because the map [+τ ] Φ(t + τ, t) = T exp t K(t ) t (17) is CPT for γ i (t). Thus we can conclue that for all time-epenent Markovian processes we again have N (Φ) =. We have just seen that a quantum process given by the time-local master equation (14) with positive rates leas to a ivisible ynamical map. Uner certain conitions the converse of this statement is also true. More precisely, if the ynamical map Φ(t, ) is ivisible with a unique map Φ(t+τ, t) epening smoothly on τ, then the corresponing ensity matrix ρ(t) obeys a master equation of the form (14) with positive rates in the generator (15). In fact, using ρ(t + τ) = Φ(t + τ, t)ρ(t) we fin t ρ(t) = τ Φ(t + τ, t)ρ(t), (18) τ= an, hence, we obtain the master equation (14), where the generator is given by K(t) = τ Φ(t + τ, t). (19) τ= Since Φ(t + τ, t) is CPT an satisfies Φ(t, t) = I, this generator must be in Linbla form for each fixe t, i.e., it must have the form (15) with γ i (t).

4 4 4. Non-Markovian processes The measure for quantum non-markovianity oes not epen on any specific mathematical representation of the ynamics. There are many ifferent such representations, e.g., through generalize master equations involving a certain memory kernel. However, quantum master equations with the time-local structure given by Eqs. (14) an (15) are also very useful for the escription of non- Markovian processes. It follows from the preceing results that in orer for such a master equation to yiel a nonzero measure, N (Φ) >, at least one of the rates γ i (t) must take on negative values for some interval of time. We emphasize that temporarily negative rates in the master equation o in general not lea to a violation of the complete positivity of the ynamical map. Many examples for time-local master equations with negative rates are known in the literature. Further examples will be iscusse in the next section. III. EXAMPLES A. Two-level system We stuy the ynamics of a two-level atom with excite state + an groun state which is couple to a reservoir of fiel moes initially in the vacuum state. In Ref. [18] we have escribe the etune Jaynes- Cummings moel, while here we treat the resonant case. We will show that the pair of states maximizing the measure for non-markovinity is ifferent in the two cases. This emonstrates that the change in both the populations an the coherences plays a crucial role in the flow of information between the system an the environment. The two-level atom moel can easily be solve exactly [3] an leas to a ynamical map Φ(t, ) which can be represente in terms of the elements ρ ±± (t) = ± ρ(t) ± of the ensity matrix ρ(t) as follows, ρ ++ (t) = G(t) ρ ++ (), ρ (t) = ρ () + (1 G(t) )ρ ++ (), ρ + (t) = G(t)ρ + (), ρ + (t) = G (t)ρ + (). () Here, the function G(t) is efine as the solution of the integroifferential equation t G(t) = t 1 f(t t 1 )G(t 1 ) (1) corresponing to the initial conition G() = 1, where f(t t 1 ) enotes the two-point reservoir correlation function (Fourier transform of the spectral ensity). The map () is completely positive if an only if G(t) 1. One can easily check that Φ(t, ) can be ecompose as in Eq. (9), where the map Φ(t + τ, t) is given by ρ ++ (t + τ) = G(t + τ) G(t) ρ ++ (t), ( ρ (t + τ) = ρ (t) + 1 G(t + τ) ) ρ ++ (t), G(t) ρ + (t + τ) = G(t + τ) ρ + (t), G(t) ρ + (t + τ) = G (t + τ) G ρ + (t). () (t) It follows from these equations that a necessary an sufficient conition for the complete positivity of Φ(t + τ, t) is given by G(t + τ) G(t). Thus we see that the ynamical map of the moel is ivisible if an only if G(t) is a monotonically ecreasing function of time. Note that this statement hols true also for the case that G(t) vanishes at some finite time. With the help of the above results one can easily erive an analytical formula for the time erivative of the trace istance, σ(t, ρ 1, ()) = G(t) a + b G(t), (3) G(t) a + b t where a = ρ ++ 1 () ρ ++ () enotes the ifference of the populations an b = ρ + 1 () ρ + () the ifference of the coherences of the initial states. This relation shows that the trace istance increases at some point if an only if G(t) increases at this point. We conclue that the measure for non-markovianity is positive, N (Φ) >, if an only if the ynamical map is nonivisible. A positive measure for non-markovianity is not only linke to a breakown of the ivisibility of the ynamical map, but also to the emergence of a negative rate in the corresponing master equation (14). In fact, as long as G(t) one can write an exact master equation of this form with the generator K(t)ρ = i S(t)[σ +σ, ρ] (4) [ +γ(t) σ ρσ + 1 ] {σ +σ, ρ}, where we use the efinitions ) ) (Ġ(t) (Ġ(t) γ(t) = R, S(t) = I. (5) G(t) G(t) Writing the rate γ(t) as γ(t) = G(t) (6) G(t) t we see that an increase of G(t) an, hence, a breakown of the ivisibility leas to a negative rate in the generator of the master equation. Thus we fin that for the present

5 Γ Λ FIG. 1: The non-markovianity N (Φ) for the ampe Jaynes- Cummings moel as a function of the coupling strength γ. Gray ots: 1 ranomly rawn pairs of pure an mixe initial states. Black circles: The initial pair given by Eq. (9) which leas to the maximum in Eq. (7). moel a nonzero measure for non-markovianity is equivalent to the non-ivisibility of the ynamical map an to the occurrence of a negative rate in the master equation. As an example we consier the case of a Lorentzian reservoir spectral ensity which is on resonance with the atomic transition frequency an leas to an exponential two-point correlation function f(τ) = 1 γ λe λ τ, (7) where γ escribes the coupling strength an λ the spectral with (ampe Jaynes-Cummings moel). Solving Eq. (1) with this correlation function we fin G(t) = e λt/ [cosh ( ) t + λ ( )] t sinh, (8) where = λ γ λ. We see that for small couplings, γ < λ/, the function G(t) ecreases monotonically. The ynamical map is thus ivisible in the weak coupling regime, the rate γ(t) is positive, an the measure for non- Markovianity vanishes. However, in the strong coupling regime, γ > λ/, the function G(t) starts to oscillate, showing a non-monotonic behavior. Consequently, the ynamical map is then no longer ivisible an N (Φ) >. We note that in the strong coupling regime the rate γ(t) iverges at the zeros of G(t). However, the master equation can still be use to escribe the evolution between successive zeros an, therefore, the connection between a positive measure an negative rates in the master equation remains vali. There is thus a threshol γ = λ/ for the systemreservoir coupling below which N (Φ) =. We fin that the measure increases monotonically with increasing coupling for γ > λ/. This is illustrate in Fig. 1. The maximization over the pair of initial states ρ 1, () in expression (7) has been performe here by a Monte Carlo sampling of pairs of initial states. Our simulations provie strong evience that the maximum is attaine for the initial states ρ 1 () =, ρ () = 1 ( + + )( + + ). (9) In Ref. [18] we calculate the measure for the etune Jaynes-Cummings moel in the weak coupling limit. In this example the maximum of the measure was obtaine for the initial states ρ 1 () = an ρ () = + +, i.e. for the invariant groun state an the excite state. The ifference in the maximization for the resonant an the off-resonant case arises from the fact that the rate at which the populations an the coherences initially ecay is much larger for the resonant case. Consequently, the growth of the trace istance occurs after the excite state population an the coherences have reache the value zero. After this point, the increase of the coherences yiels the ominant contribution to the increase of the trace istance. Therefore, the maximal growth of the trace istance for the resonant case is reache for the invariant state an the state with maximal initial coherence. B. Λ-moel The Λ-moel escribes a three-level atom with excite state a an two groun states b an c interacting off-resonantly with a cavity fiel. This example allows us to emonstrate how the measure for non-markovianity operates in a multi-channel case an how there can exist simultaneously positive an negative ecay rates for ifferent channels. The spectral ensity we use is J(ω) = γ λ π (ω cav ω) + λ, (3) where ω cav is the resonance frequency of the cavity. Further etails an the master equation escribing the ynamics of the Λ-type atom are presente in the Appenix. The generator of the master equation is of the form of Eq. (15) with two Linbla operators b a an c a, an two time-epenent ecay rates γ 1 (t) an γ (t). The etunings of the transition frequencies of the Λ- atom from the cavity resonance frequency are enote by i = ω i ω cav. When the etuning parameters 1 an are both sufficiently large, the ecay rates γ 1 (t) an γ (t) get temporarily negative values an this gives rise to an information flow from the environment to the system. On one han, the two ecay rates γ 1 (t) an γ (t) have simultaneous negative regions when 1 =. On the other han, when 1, the ecay rates can have opposite signs. In this case, the co-operative action of the other channel reuces the amount of information flowing from the environment to the system. The maximum of the measure over the initial states is reache when the states are chosen to be a a an b b, or a a an c c, epening on which of the channels has more information flow from the environment to the system. When

6 6 1 an are such that the channel corresponing to the ecay rate γ i (t) (i = 1 or ) causes more information flow from the environment to the system we get the expression σ(t) = γ i (t)ρ aa (t). (31) The function ρ aa (t) is specifie in the Appenix. Eq. (31) shows that the Λ-system is non-markovian if one of the ecay rates γ 1 (t) or γ (t) takes on negative values. The maximization over the the pair of initial states is emonstrate in Fig., where the measure was again calculate numerically from a large sample of initial states FIG. : The non-markovianity N (Φ) for the Λ-moel as a function of the etuning 1 for /λ = 5 an γ /λ =.1. Gray ots: 1 ranomly rawn pairs of initial states. Circles: The initial pair ρ 1() = a a an ρ () = b b. Pluses: The initial pair ρ 1() = a a an ρ () = c c. At 1 = the pair which yiels the maximum in Eq. (7) changes from the latter to the former pair of initial states. IV. 1 Λ DISCUSSION A. Alternative istance measures We have base our efinition of the measure of non- Markovianity on the trace istance (1). An alternative measure is obtaine if one replaces the trace istance by the relative entropy S(ρ 1 ρ ) = Tr [ρ 1 (log ρ 1 log ρ )]. (3) Using this quantity as a measure for the istance between quantum states one is le to a similar interpretation as before because the relative entropy also ecreases uner CPT maps []. There are however some technical problems an limitations in the usefulness of the relative entropy which arise from the fact that for many pairs ρ 1 an ρ the relative entropy becomes infinite [3] an thus leas to singularities in the efinition of the measure. This situation can occur even in the simple case of a two-state system, emonstrating the problems of the relative entropy concept in efining a general measure for non-markovianity. No such problems occur for the trace istance which is well-efine an finite for all physical states represente by positive trace class operators. Another common measure for the istance between two states is the Hilbert-Schmit istance D HS (ρ 1, ρ ) = Tr [(ρ 1 ρ ) ]. (33) For two-imensional Hilbert spaces the Hilbert-Schmit istance an the trace istance coincie an correspon to the Eucliean istance between the Bloch vectors representing the states (up to numerical factors). However, the Hilbert-Schmit istance is not suitable for a efinition of non-markovianity since CPT maps are in general not contractions for this metric [4]. Thus, the Hilbert- Schmit istance oes not provie a natural way to efine the information flow between system an environment. B. Experimental issues The exact etermination of the measure generally requires solving the complete reuce ynamics which can be a ifficult task for more complex systems. However, any observe growth of the trace istance is a clear signature for non-markovian behavior an leas to a lower boun for N (Φ). The measure for non-markovianity introuce here coul therefore be useful also for the experimental etection of non-markovianity. In an experiment one has to perform a state tomography on ifferent ensembles at ifferent times in orer to ecie whether or not the trace istance has increase. Such an experiment also allows the valiation of theoretical moels or approximation schemes. Consier a theoretical moel preicting σ(t, ρ 1, ()) > for some interval t (t 1, t ) an for some pair of initial states ρ 1, (). In the experiment one shoul then etect the increase of the trace istance between the states ρ 1 (t) an ρ (t) in this time interval. This type of experiment coul be base, e. g., on the recent proposal to use a trappe ion to stuy quantum Brownian motion in the non-markovian regime [5]. The explicit experimental implementation of this system can be one, e. g., by using reservoir engineering techniques [6] or by using the trappe ion as a quantum simulator for non-markovian ynamics [7]. One of the possibilities here to etect non-markovianity is to prepare the ion in various Fock states, an to stuy the trace istance ynamics as escribe above. A great avantage of the present approach is that it also allows to plan experiments for testing non- Markovianity without knowing the properties of the environment or the system-environment interaction. The interactions an environmental properties can be quite ifficult to moel in an experimental setup. By performing a state tomography for two states of the open system uner stuy at many ifferent times, one can etermine whether there has been any increase in the trace istance an, hence, non-markovian behavior in the ynamics. From this information one can conclue whether or not non-markovian effects are crucial in the ynamics an

7 7 in this way also gain some knowlege on the nature of the environment an the interactions. An example uner active investigation, where nevertheless a complete characterization of the environment is still missing an where non-markovianity coul play a role, is given by the energy transfer in photosynthetic systems [8]. C. Other approaches to non-markovianity Recently, other interesting approaches to the characterization an quantification of non-markovianity have been propose. The measure suggeste in Ref. [5] quantifies non-markovianity in terms of the minimal amount of noise require to make a given quantum channel Markovian. The most important ifference to our approach is that this measure is base on the properties of the ynamical map at a given time, i.e., on the properties of the quantum channel represente by a snapshot of the time evolution. Hence, this approach assesses to what exten the ynamical map at each fixe time t eviates from an element of a Markovian process. The funamental ifference between the notion of non-markovianity use in Ref. [5] an ours can be seen from the following simple example. We consier the ynamical map Φ(t, ) of a two state system unergoing a pure e- an re-phasing ynamics which is given by (using the notation of Sec. III A) ρ ++ (t) = ρ ++ (), ρ (t) = ρ (), ρ + (t) = g(t)ρ + (), ρ + (t) = g(t)ρ + (), (34) where the function g(t) = 1 [1 + cos ωt] escribes a perioic oscillation of the coherences. The trace istance for this moel is given by D(ρ 1 (t), ρ (t)) = a + g (t) b (35) where a = ρ ++ 1 () ρ ++ () an b = ρ + 1 () ρ + (). For b the trace istance thus oscillates perioically an, hence, N (Φ) = + accoring to the efinition (7) of our measure. On the other han, the non-markovianity in the sense of Ref. [5] is zero because for any fixe t the ynamical map (34) can be written as an element of a Markovian semigroup: Φ(t, ) = exp(l) with the Linbla generator Lρ = Γ (σ 3ρσ 3 ρ), where Γ = ln g(t ). A further interesting measure propose recently [6] is closely connecte to the measure iscusse here. In fact, the measure of Ref. [6] quantifies eviations from the ivisibility of the ynamical map. As we have seen, the non-ivisibility of the ynamical map is a necessary conition for N (Φ) to be nonzero. However, we conjecture that our notion of non-markovianity an the one use in [6] are not strictly equivalent, i.e., that there are nonivisible maps with N (Φ) =. Further consierations concerning this point will be publishe elsewhere. V. CONCLUSIONS We have constructe a measure N (Φ) for the non- Markovianity of quantum processes in open systems in terms of the information flowing from the environment to the system uring the time evolution. The flow of information is characterize by the change of the istinguishability between a pair of quantum states which, in turn, is linke to the change of the trace istance between these states. We have also argue why the trace istance represents the most suitable istance measure for quantum states to be use in this context. Furthermore, since we have evelope a genuine quantitative measure, the results presente here also allow to compare the egree of non-markovianity of ifferent types of physical systems. It has been emonstrate that a nonzero measure for non-markovianity requires the ynamical map to be nonivisible, a property which is thus necessary for the presence of memory effects in the open system ynamics. It has also been shown that Markovian semigroups an time-epenent Markov processes are ivisible an, hence, lea to N (Φ) =. The examples iscusse here illustrate how the measure can be calculate for a given open system ynamics an that a nonzero measure for non-markovianity is linke to the emergence of negative ecay rates in the corresponing master equation. Our measure for non-markovianity has a clear operational meaning base on the interpretation of the trace istance in terms of the istinguishability of states, an suggests various ways to experimentally ecie whether a system uner stuy is non-markovian. The measurement scheme iscusse here has the great avantage that it oes not presuppose any knowlege about the structure of the environment or about the system-environment interaction an, therefore, also gives valuable information on the theoretical moelling of the open system ynamics. If, for example, a substantial increase of the trace istance is observe experimentally, a mathematical escription of the ynamics through any equation escribing a Markovian or time-epenent Markovian process is exclue. This shows that our measure is a useful tool for the characterization of non-markovianity, both in experiments on open systems an in their theoretical analysis an moelling. We have argue that the characteristics of the information exchange between the system an its environment etermine the egree of non-markovian behavior in an open system. This exchange of quantum information has been efine here in very general terms through the change of the istinguishability of quantum states, an oes not presuppose anything about the specific physical carriers of the information, e.g., energy or particles. Moreover, the measure oes not epen on any specific representation of the open system s ynamics. It therefore opens the possibility to compare an assess ifferent mathematical formulations of ynamical processes in their ability to escribe memory effects, in orer to unerstan better the mathematical escription of non-

8 8 Markovian quantum ynamics. where Acknowlegments The authors thank the Acaemy of Finlan (projects 13368, 11598, 11568), Magnus Ehrnrooth Founation, an the Finnish National Grauate School of Moern Optics an Photonics for financial support. Appenix Here we present some etails of the Λ-moel stuie in Sec. III B. The weak-coupling master equation for this moel is given by t ρ(t) = iλ 1(t) [ a a, ρ(t)] iλ (t) [ a a, ρ(t)] +γ 1 (t) [ b a ρ(t) a b 1 ] {ρ(t), a a } +γ (t) [ c a ρ(t) a c 1 ] {ρ(t), a a }, where λ i (t) = γ i (t) = s s Introucing the efinitions ωj(ω) sin [(ω ω i )s], ωj(ω) cos [(ω ω i )s]. f(t) = e [D1(t)+D(t)]/ e i[l1(t)+l(t)], g i (t) = sγ i (s)e [D1(s)+D(s)], D i (t) = sγ i (s), L i (t) = sλ i (s), the solution of the master equation can be represente as follows, ρ aa (t) = f(t) ρ aa (), ρ bb (t) = g 1 (t)ρ aa () + ρ bb (), ρ cc (t) = g (t)ρ aa () + ρ cc (), ρ ab (t) = f(t)ρ ab (), ρ ac (t) = f(t)ρ ac (), ρ bc (t) = ρ bc (). These equations efine the ynamical map Φ(t, ) of the Λ-moel. Employing the results of Choi [9] one can check that a necessary an sufficient conition for the complete positivity of this map is given by g 1 (t), g (t). These conitions are satisfie for the parameters use in the simulations of Sec. III B. [1] V. Gorini, A. Kossakowski an E. C. G. Suarshan, J. Math. Phys. 17, 81 (1976). [] G. Linbla, Comm. Math. Phys. 48, 119 (1976). [3] H. P. Breuer an F. Petruccione, The Theory of Open Quantum Systems (Oxfor University Press, Oxfor, ). [4] J. Piilo, S. Maniscalco, K. Härkönen an K.-A. Suominen, Phys. Rev. Lett. 1, 184 (8); J. Piilo, K. Härkönen, S. Maniscalco an K.-A. Suominen, Phys. Rev. A 79, 611 (9); H. P. Breuer an J. Piilo, Europhys. Lett. 85, 54 (9). [5] M. M. Wolf, J. Eisert, T. S. Cubitt an J. I. Cirac, Phys.Rev. Lett. 11, 154 (8). [6] A. Rivas, S. F. Huelga an M. B. Plenio (9), eprint arxiv:911.47v1. [7] H. P. Breuer an B. Vacchini, Phys. Rev. Lett. 11, 144 (8); Phys. Rev. E 79, (9). [8] H. P. Breuer, Phys. Rev. A 7, 116 (4). [9] D. Chruściński, A. Kossakowski an S. Pascazio, Phys. Rev. A 81, 311 (1). [1] H. Krovi, O. Oreshkov, M. Ryazanov an D. A. Liar, Phys. Rev. A 76, 5117 (7). [11] A. J. van Woneren an K. Leni, Europhys. Lett. 71, 737 (6). [1] A. A. Buini, Phys. Rev. A 74, (6). [13] S. M. Barnett an S. Stenholm, Phys. Rev. A 64,3388 (1). [14] J. Wilkie an Y. M. Wong, J. Phys. A 4, 156 (9). [15] S. Daffer, K. Wókiewicz, J. D. Cresser an J. K. McIver, Phys. Rev. A 7, 134(R) (4). [16] A. Kossakowski an R. Rebolleo, Open Syst. Inf. Dyn. 15, 135 (8); Open Syst. Inf. Dyn. 16, 59 (9). [17] A. Shabani an D. A. Liar, Phys. Rev. Lett. 1, 14 (9). [18] H. P. Breuer, E.-M. Laine, J. Piilo, Phys. Rev. Lett. 13, 141 (9). [19] M. A. Nielsen an I. L. Chuang, Quantum Computation an Quantum Information (Cambrige University Press,

9 9 Cambrige, ). [] A. Gilchrist, N. K. Langfor an M. A. Nielsen, Phys. Rev. A 71, 631 (5). [1] M. M. Wolf an J. I. Cirac, Commun. Math. Phys, 79, 147 (8). [] G. Linbla, Commun. Math. Phys. 4, 147 (1975). [3] K. Leni, J. Stat. Phys. 5, 113 (1988). [4] X. Wang an S. G. Schirmer, Phys. Rev. A 79, 536 (9). [5] S. Maniscalco, J. Piilo, F. Intravaia, F. Petruccione an A. Messina, Phys. Rev. A 69, 511 (4). [6] C. J. Myatt, B. E. King, Q. A. Turchette, C. A. Sackett, D. Kielpinski, W. M. Itano, C. Monroe, D. J. Winelan, Nature 43, 69 (). [7] J. Piilo an S. Maniscalco, Phys. Rev. A 74, 333 (6). [8] G. S. Engel, T. R. Calhoun, E. L. Rea, T.-K. Ahn, T. Mančal, Y.-C. Cheng, R. E. Blankenship, an G. R. Fleming, Nature 446, 78 (7). [9] M. D. Choi, Linear Algebra Appl. 1, 85 (1975).

Qubit channels that achieve capacity with two states

Qubit channels that achieve capacity with two states Qubit channels that achieve capacity with two states Dominic W. Berry Department of Physics, The University of Queenslan, Brisbane, Queenslan 4072, Australia Receive 22 December 2004; publishe 22 March

More information

Non-Markovian Quantum Dynamics of Open Systems

Non-Markovian Quantum Dynamics of Open Systems Non-Markovian Quantum Dynamics of Open Systems Heinz-Peter Breuer Physikalisches Institut, Albert-Ludwigs-Universität Freiburg 640. WE-Heraeus-Seminar Non-Markovianity and Strong Coupling Effects in Thermodynamics

More information

ensembles When working with density operators, we can use this connection to define a generalized Bloch vector: v x Tr x, v y Tr y

ensembles When working with density operators, we can use this connection to define a generalized Bloch vector: v x Tr x, v y Tr y Ph195a lecture notes, 1/3/01 Density operators for spin- 1 ensembles So far in our iscussion of spin- 1 systems, we have restricte our attention to the case of pure states an Hamiltonian evolution. Toay

More information

6 General properties of an autonomous system of two first order ODE

6 General properties of an autonomous system of two first order ODE 6 General properties of an autonomous system of two first orer ODE Here we embark on stuying the autonomous system of two first orer ifferential equations of the form ẋ 1 = f 1 (, x 2 ), ẋ 2 = f 2 (, x

More information

Entanglement is not very useful for estimating multiple phases

Entanglement is not very useful for estimating multiple phases PHYSICAL REVIEW A 70, 032310 (2004) Entanglement is not very useful for estimating multiple phases Manuel A. Ballester* Department of Mathematics, University of Utrecht, Box 80010, 3508 TA Utrecht, The

More information

arxiv:quant-ph/ v1 29 Jun 2001

arxiv:quant-ph/ v1 29 Jun 2001 Atomic wave packet basis for quantum information Ashok Muthukrishnan an C. R. Strou, Jr. The Institute of Optics, University of Rochester, Rochester, New York 14627 (March 15, 2001) arxiv:quant-ph/0106165

More information

Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions

Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions Working Paper 2013:5 Department of Statistics Computing Exact Confience Coefficients of Simultaneous Confience Intervals for Multinomial Proportions an their Functions Shaobo Jin Working Paper 2013:5

More information

arxiv: v2 [quant-ph] 30 Jan 2018

arxiv: v2 [quant-ph] 30 Jan 2018 Funamental limits on quantum ynamics base on entropy change Sihartha Das 1, Sumeet Khatri 1, George Siopsis 3, an Mark M. Wile 1, arxiv:1707.06584v [quant-ph] 30 Jan 018 1 Hearne Institute for Theoretical

More information

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control 19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior

More information

Quantum Stochastic Walks: A Generalization of Classical Random Walks and Quantum Walks

Quantum Stochastic Walks: A Generalization of Classical Random Walks and Quantum Walks Quantum Stochastic Walks: A Generalization of Classical Ranom Walks an Quantum Walks The Harvar community has mae this article openly available. Please share how this access benefits you. Your story matters

More information

A Note on Exact Solutions to Linear Differential Equations by the Matrix Exponential

A Note on Exact Solutions to Linear Differential Equations by the Matrix Exponential Avances in Applie Mathematics an Mechanics Av. Appl. Math. Mech. Vol. 1 No. 4 pp. 573-580 DOI: 10.4208/aamm.09-m0946 August 2009 A Note on Exact Solutions to Linear Differential Equations by the Matrix

More information

arxiv: v1 [physics.flu-dyn] 8 May 2014

arxiv: v1 [physics.flu-dyn] 8 May 2014 Energetics of a flui uner the Boussinesq approximation arxiv:1405.1921v1 [physics.flu-yn] 8 May 2014 Kiyoshi Maruyama Department of Earth an Ocean Sciences, National Defense Acaemy, Yokosuka, Kanagawa

More information

Time-of-Arrival Estimation in Non-Line-Of-Sight Environments

Time-of-Arrival Estimation in Non-Line-Of-Sight Environments 2 Conference on Information Sciences an Systems, The Johns Hopkins University, March 2, 2 Time-of-Arrival Estimation in Non-Line-Of-Sight Environments Sinan Gezici, Hisashi Kobayashi an H. Vincent Poor

More information

arxiv: v1 [cond-mat.stat-mech] 9 Jan 2012

arxiv: v1 [cond-mat.stat-mech] 9 Jan 2012 arxiv:1201.1836v1 [con-mat.stat-mech] 9 Jan 2012 Externally riven one-imensional Ising moel Amir Aghamohammai a 1, Cina Aghamohammai b 2, & Mohamma Khorrami a 3 a Department of Physics, Alzahra University,

More information

Semiclassical analysis of long-wavelength multiphoton processes: The Rydberg atom

Semiclassical analysis of long-wavelength multiphoton processes: The Rydberg atom PHYSICAL REVIEW A 69, 063409 (2004) Semiclassical analysis of long-wavelength multiphoton processes: The Ryberg atom Luz V. Vela-Arevalo* an Ronal F. Fox Center for Nonlinear Sciences an School of Physics,

More information

Equilibrium in Queues Under Unknown Service Times and Service Value

Equilibrium in Queues Under Unknown Service Times and Service Value University of Pennsylvania ScholarlyCommons Finance Papers Wharton Faculty Research 1-2014 Equilibrium in Queues Uner Unknown Service Times an Service Value Laurens Debo Senthil K. Veeraraghavan University

More information

How the potentials in different gauges yield the same retarded electric and magnetic fields

How the potentials in different gauges yield the same retarded electric and magnetic fields How the potentials in ifferent gauges yiel the same retare electric an magnetic fiels José A. Heras a Departamento e Física, E. S. F. M., Instituto Politécnico Nacional, México D. F. México an Department

More information

arxiv: v1 [physics.class-ph] 20 Dec 2017

arxiv: v1 [physics.class-ph] 20 Dec 2017 arxiv:1712.07328v1 [physics.class-ph] 20 Dec 2017 Demystifying the constancy of the Ermakov-Lewis invariant for a time epenent oscillator T. Pamanabhan IUCAA, Post Bag 4, Ganeshkhin, Pune - 411 007, Inia.

More information

Chapter 6: Energy-Momentum Tensors

Chapter 6: Energy-Momentum Tensors 49 Chapter 6: Energy-Momentum Tensors This chapter outlines the general theory of energy an momentum conservation in terms of energy-momentum tensors, then applies these ieas to the case of Bohm's moel.

More information

Optimization of Geometries by Energy Minimization

Optimization of Geometries by Energy Minimization Optimization of Geometries by Energy Minimization by Tracy P. Hamilton Department of Chemistry University of Alabama at Birmingham Birmingham, AL 3594-140 hamilton@uab.eu Copyright Tracy P. Hamilton, 1997.

More information

On the number of isolated eigenvalues of a pair of particles in a quantum wire

On the number of isolated eigenvalues of a pair of particles in a quantum wire On the number of isolate eigenvalues of a pair of particles in a quantum wire arxiv:1812.11804v1 [math-ph] 31 Dec 2018 Joachim Kerner 1 Department of Mathematics an Computer Science FernUniversität in

More information

Formulation of statistical mechanics for chaotic systems

Formulation of statistical mechanics for chaotic systems PRAMANA c Inian Acaemy of Sciences Vol. 72, No. 2 journal of February 29 physics pp. 315 323 Formulation of statistical mechanics for chaotic systems VISHNU M BANNUR 1, an RAMESH BABU THAYYULLATHIL 2 1

More information

05 The Continuum Limit and the Wave Equation

05 The Continuum Limit and the Wave Equation Utah State University DigitalCommons@USU Founations of Wave Phenomena Physics, Department of 1-1-2004 05 The Continuum Limit an the Wave Equation Charles G. Torre Department of Physics, Utah State University,

More information

THE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE

THE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE Journal of Soun an Vibration (1996) 191(3), 397 414 THE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE E. M. WEINSTEIN Galaxy Scientific Corporation, 2500 English Creek

More information

The Principle of Least Action

The Principle of Least Action Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of

More information

Switching Time Optimization in Discretized Hybrid Dynamical Systems

Switching Time Optimization in Discretized Hybrid Dynamical Systems Switching Time Optimization in Discretize Hybri Dynamical Systems Kathrin Flaßkamp, To Murphey, an Sina Ober-Blöbaum Abstract Switching time optimization (STO) arises in systems that have a finite set

More information

A simple model for the small-strain behaviour of soils

A simple model for the small-strain behaviour of soils A simple moel for the small-strain behaviour of soils José Jorge Naer Department of Structural an Geotechnical ngineering, Polytechnic School, University of São Paulo 05508-900, São Paulo, Brazil, e-mail:

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

More information

Lecture 2 Lagrangian formulation of classical mechanics Mechanics

Lecture 2 Lagrangian formulation of classical mechanics Mechanics Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,

More information

The total derivative. Chapter Lagrangian and Eulerian approaches

The total derivative. Chapter Lagrangian and Eulerian approaches Chapter 5 The total erivative 51 Lagrangian an Eulerian approaches The representation of a flui through scalar or vector fiels means that each physical quantity uner consieration is escribe as a function

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

More information

arxiv:quant-ph/ v2 3 Apr 2006

arxiv:quant-ph/ v2 3 Apr 2006 New class of states with positive partial transposition Dariusz Chruściński an Anrzej Kossakowski Institute of Physics Nicolaus Copernicus University Gruzi azka 5/7 87 100 Toruń Polan We construct a new

More information

A Simple Model for the Calculation of Plasma Impedance in Atmospheric Radio Frequency Discharges

A Simple Model for the Calculation of Plasma Impedance in Atmospheric Radio Frequency Discharges Plasma Science an Technology, Vol.16, No.1, Oct. 214 A Simple Moel for the Calculation of Plasma Impeance in Atmospheric Raio Frequency Discharges GE Lei ( ) an ZHANG Yuantao ( ) Shanong Provincial Key

More information

Chapter 2: Quantum Master Equations

Chapter 2: Quantum Master Equations Chapter 2: Quantum Master Equations I. THE LINDBLAD FORM A. Superoperators an ynamical maps The Liouville von Neumann equation is given by t ρ = i [H, ρ]. (1) We can efine a superoperator L such that Lρ

More information

Jyrki Piilo NON-MARKOVIAN OPEN QUANTUM SYSTEMS. Turku Centre for Quantum Physics Non-Markovian Processes and Complex Systems Group

Jyrki Piilo NON-MARKOVIAN OPEN QUANTUM SYSTEMS. Turku Centre for Quantum Physics Non-Markovian Processes and Complex Systems Group UNIVERSITY OF TURKU, FINLAND NON-MARKOVIAN OPEN QUANTUM SYSTEMS Jyrki Piilo Turku Centre for Quantum Physics Non-Markovian Processes and Complex Systems Group Turku Centre for Quantum Physics, Finland

More information

arxiv: v1 [quant-ph] 10 Jul 2012

arxiv: v1 [quant-ph] 10 Jul 2012 Local in time master equations with memory effects: Applicability and interpretation arxiv:1207.2343v1 [quant-ph] 10 Jul 2012 1. Introduction E.-M. Laine, K. Luoma and J. Piilo Turku Centre for Quantum

More information

arxiv:hep-th/ v1 3 Feb 1993

arxiv:hep-th/ v1 3 Feb 1993 NBI-HE-9-89 PAR LPTHE 9-49 FTUAM 9-44 November 99 Matrix moel calculations beyon the spherical limit arxiv:hep-th/93004v 3 Feb 993 J. Ambjørn The Niels Bohr Institute Blegamsvej 7, DK-00 Copenhagen Ø,

More information

Introduction to the Vlasov-Poisson system

Introduction to the Vlasov-Poisson system Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its

More information

Homework 3 - Solutions

Homework 3 - Solutions Homework 3 - Solutions The Transpose an Partial Transpose. 1 Let { 1, 2,, } be an orthonormal basis for C. The transpose map efine with respect to this basis is a superoperator Γ that acts on an operator

More information

θ x = f ( x,t) could be written as

θ x = f ( x,t) could be written as 9. Higher orer PDEs as systems of first-orer PDEs. Hyperbolic systems. For PDEs, as for ODEs, we may reuce the orer by efining new epenent variables. For example, in the case of the wave equation, (1)

More information

arxiv: v2 [quant-ph] 1 Aug 2016

arxiv: v2 [quant-ph] 1 Aug 2016 Operational Characterization of Divisibility of Dynamical Maps arxiv:60.05522v2 [quant-ph] Aug 206 Joonwoo Bae, 2 an Dariusz Chruścińsi 3 Department of Applie Mathematics, Hanyang University (ERICA), 55

More information

arxiv:nlin/ v1 [nlin.cd] 21 Mar 2002

arxiv:nlin/ v1 [nlin.cd] 21 Mar 2002 Entropy prouction of iffusion in spatially perioic eterministic systems arxiv:nlin/0203046v [nlin.cd] 2 Mar 2002 J. R. Dorfman, P. Gaspar, 2 an T. Gilbert 3 Department of Physics an Institute for Physical

More information

Non-Markovian Quantum Dynamics of Open Systems: Foundations and Perspectives

Non-Markovian Quantum Dynamics of Open Systems: Foundations and Perspectives Non-Markovian Quantum Dynamics of Open Systems: Foundations and Perspectives Heinz-Peter Breuer Universität Freiburg QCCC Workshop, Aschau, October 2007 Contents Quantum Markov processes Non-Markovian

More information

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21 Large amping in a structural material may be either esirable or unesirable, epening on the engineering application at han. For example, amping is a esirable property to the esigner concerne with limiting

More information

Jyrki Piilo. Lecture II Non-Markovian Quantum Jumps. Turku Centre for Quantum Physics Non-Markovian Processes and Complex Systems Group

Jyrki Piilo. Lecture II Non-Markovian Quantum Jumps. Turku Centre for Quantum Physics Non-Markovian Processes and Complex Systems Group UNIVERSITY OF TURKU, FINLAND Lecture II Non-Markovian Quantum Jumps Jyrki Piilo Turku Centre for Quantum Physics Non-Markovian Processes and Complex Systems Group Contents Lecture 1 1. General framework:

More information

A Model of Electron-Positron Pair Formation

A Model of Electron-Positron Pair Formation Volume PROGRESS IN PHYSICS January, 8 A Moel of Electron-Positron Pair Formation Bo Lehnert Alfvén Laboratory, Royal Institute of Technology, S-44 Stockholm, Sween E-mail: Bo.Lehnert@ee.kth.se The elementary

More information

18 EVEN MORE CALCULUS

18 EVEN MORE CALCULUS 8 EVEN MORE CALCULUS Chapter 8 Even More Calculus Objectives After stuing this chapter you shoul be able to ifferentiate an integrate basic trigonometric functions; unerstan how to calculate rates of change;

More information

arxiv: v1 [quant-ph] 17 Sep 2015

arxiv: v1 [quant-ph] 17 Sep 2015 Non-Markovian dynamics in two-qubit dephasing channels with an application to superdense coding Antti Karlsson, Henri Lyyra, Elsi-Mari Laine, Sabrina Maniscalco, and Jyrki Piilo Turku Centre for Quantum

More information

PDE Notes, Lecture #11

PDE Notes, Lecture #11 PDE Notes, Lecture # from Professor Jalal Shatah s Lectures Febuary 9th, 2009 Sobolev Spaces Recall that for u L loc we can efine the weak erivative Du by Du, φ := udφ φ C0 If v L loc such that Du, φ =

More information

Hyperbolic Moment Equations Using Quadrature-Based Projection Methods

Hyperbolic Moment Equations Using Quadrature-Based Projection Methods Hyperbolic Moment Equations Using Quarature-Base Projection Methos J. Koellermeier an M. Torrilhon Department of Mathematics, RWTH Aachen University, Aachen, Germany Abstract. Kinetic equations like the

More information

Survey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013

Survey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013 Survey Sampling Kosuke Imai Department of Politics, Princeton University February 19, 2013 Survey sampling is one of the most commonly use ata collection methos for social scientists. We begin by escribing

More information

Harmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method

Harmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method 1 Harmonic Moelling of Thyristor Briges using a Simplifie Time Domain Metho P. W. Lehn, Senior Member IEEE, an G. Ebner Abstract The paper presents time omain methos for harmonic analysis of a 6-pulse

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+

More information

Schrödinger s equation.

Schrödinger s equation. Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of

More information

Quantum mechanical approaches to the virial

Quantum mechanical approaches to the virial Quantum mechanical approaches to the virial S.LeBohec Department of Physics an Astronomy, University of Utah, Salt Lae City, UT 84112, USA Date: June 30 th 2015 In this note, we approach the virial from

More information

arxiv: v1 [quant-ph] 6 Jun 2008

arxiv: v1 [quant-ph] 6 Jun 2008 Bloch vectors for quits Reinhol A. Bertlmann an Philipp Krammer Faculty of Physics, University of Vienna, Boltzmanngasse 5, A-1090 Vienna, Austria arxiv:0806.1174v1 [quant-ph] 6 Jun 008 We present three

More information

Simple Derivation of the Lindblad Equation

Simple Derivation of the Lindblad Equation Simple Derivation of the Linbla Equation Philip Pearle - arxiv:120.2016v1 10-apr 2012 April 10,2012 Abstract The Linbla equation is an evolution equation for the ensity matrix in quantum theory. It is

More information

A new proof of the sharpness of the phase transition for Bernoulli percolation on Z d

A new proof of the sharpness of the phase transition for Bernoulli percolation on Z d A new proof of the sharpness of the phase transition for Bernoulli percolation on Z Hugo Duminil-Copin an Vincent Tassion October 8, 205 Abstract We provie a new proof of the sharpness of the phase transition

More information

1 Heisenberg Representation

1 Heisenberg Representation 1 Heisenberg Representation What we have been ealing with so far is calle the Schröinger representation. In this representation, operators are constants an all the time epenence is carrie by the states.

More information

Lie symmetry and Mei conservation law of continuum system

Lie symmetry and Mei conservation law of continuum system Chin. Phys. B Vol. 20, No. 2 20 020 Lie symmetry an Mei conservation law of continuum system Shi Shen-Yang an Fu Jing-Li Department of Physics, Zhejiang Sci-Tech University, Hangzhou 3008, China Receive

More information

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 342 Partial Differential Equations «Viktor Grigoryan Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite

More information

Chaos, Solitons and Fractals Nonlinear Science, and Nonequilibrium and Complex Phenomena

Chaos, Solitons and Fractals Nonlinear Science, and Nonequilibrium and Complex Phenomena Chaos, Solitons an Fractals (7 64 73 Contents lists available at ScienceDirect Chaos, Solitons an Fractals onlinear Science, an onequilibrium an Complex Phenomena journal homepage: www.elsevier.com/locate/chaos

More information

arxiv: v1 [math-ph] 10 Apr 2012

arxiv: v1 [math-ph] 10 Apr 2012 Simple Derivation of the Linbla Equation Philip Pearle 1, 1 Department of Physics, Hamilton College, Clinton, NY 1333 (Date: April 11, 01) The Linbla equation is an evolution equation for the ensity matrix

More information

PHYS 414 Problem Set 2: Turtles all the way down

PHYS 414 Problem Set 2: Turtles all the way down PHYS 414 Problem Set 2: Turtles all the way own This problem set explores the common structure of ynamical theories in statistical physics as you pass from one length an time scale to another. Brownian

More information

Math 115 Section 018 Course Note

Math 115 Section 018 Course Note Course Note 1 General Functions Definition 1.1. A function is a rule that takes certain numbers as inputs an assigns to each a efinite output number. The set of all input numbers is calle the omain of

More information

Calculus in the AP Physics C Course The Derivative

Calculus in the AP Physics C Course The Derivative Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.

More information

Calculus of Variations

Calculus of Variations Calculus of Variations Lagrangian formalism is the main tool of theoretical classical mechanics. Calculus of Variations is a part of Mathematics which Lagrangian formalism is base on. In this section,

More information

WUCHEN LI AND STANLEY OSHER

WUCHEN LI AND STANLEY OSHER CONSTRAINED DYNAMICAL OPTIMAL TRANSPORT AND ITS LAGRANGIAN FORMULATION WUCHEN LI AND STANLEY OSHER Abstract. We propose ynamical optimal transport (OT) problems constraine in a parameterize probability

More information

ELEC3114 Control Systems 1

ELEC3114 Control Systems 1 ELEC34 Control Systems Linear Systems - Moelling - Some Issues Session 2, 2007 Introuction Linear systems may be represente in a number of ifferent ways. Figure shows the relationship between various representations.

More information

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

Open System Dynamics with Non-Markovian Quantum Trajectories

Open System Dynamics with Non-Markovian Quantum Trajectories Open System Dynamics with Non-Markovian Quantum Trajectories W. T. Strunz 1,,L.Diósi,anN.Gisin 3 1 Fachbereich Physik, Universität GH Essen, 45117 Essen, Germany Research Institute for Particle an Nuclear

More information

EVOLUTION OF PARTICLE SIZE DISTRIBUTION IN AIR IN THE RAINFALL PROCESS VIA THE MOMENT METHOD

EVOLUTION OF PARTICLE SIZE DISTRIBUTION IN AIR IN THE RAINFALL PROCESS VIA THE MOMENT METHOD 137 THERMAL SCIENCE, Year 1, Vol. 16, No. 5, pp. 137-1376 EVOLUTION OF PARTICLE SIZE DISTRIBUTION IN AIR IN THE RAINFALL PROCESS VIA THE MOMENT METHOD by Fu-Jun GAN a an Jian-Zhong LIN a,b * a Department

More information

arxiv: v3 [quant-ph] 28 Aug 2018

arxiv: v3 [quant-ph] 28 Aug 2018 Divisibility an Information Flow Notions of Quantum Markovianity for Noninvertible Dynamical Maps Dariusz Chruściński, 1 Ángel Rivas, 2,3 an Erling Størmer 4 1 Institute of Physics, Faculty of Physics,

More information

Introduction to Markov Processes

Introduction to Markov Processes Introuction to Markov Processes Connexions moule m44014 Zzis law Gustav) Meglicki, Jr Office of the VP for Information Technology Iniana University RCS: Section-2.tex,v 1.24 2012/12/21 18:03:08 gustav

More information

arxiv: v3 [quant-ph] 25 Sep 2012

arxiv: v3 [quant-ph] 25 Sep 2012 Three-Level Laser Dynamics with the Atoms Pumpe by Electron Bombarment arxiv:115.1438v3 [quant-ph] 25 Sep 212 Fesseha Kassahun Department of Physics, Ais Ababa University, P. O. Box 33761, Ais Ababa, Ethiopia

More information

On the Conservation of Information in Quantum Physics

On the Conservation of Information in Quantum Physics On the Conservation of Information in Quantum Physics Marco Roncaglia Physics Department an Research Center OPTIMAS, University of Kaiserslautern, Germany (Date: September 11, 2017 escribe the full informational

More information

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold CHAPTER 1 : DIFFERENTIABLE MANIFOLDS 1.1 The efinition of a ifferentiable manifol Let M be a topological space. This means that we have a family Ω of open sets efine on M. These satisfy (1), M Ω (2) the

More information

1 dx. where is a large constant, i.e., 1, (7.6) and Px is of the order of unity. Indeed, if px is given by (7.5), the inequality (7.

1 dx. where is a large constant, i.e., 1, (7.6) and Px is of the order of unity. Indeed, if px is given by (7.5), the inequality (7. Lectures Nine an Ten The WKB Approximation The WKB metho is a powerful tool to obtain solutions for many physical problems It is generally applicable to problems of wave propagation in which the frequency

More information

Lagrangian and Hamiltonian Mechanics

Lagrangian and Hamiltonian Mechanics Lagrangian an Hamiltonian Mechanics.G. Simpson, Ph.. epartment of Physical Sciences an Engineering Prince George s Community College ecember 5, 007 Introuction In this course we have been stuying classical

More information

Integration Review. May 11, 2013

Integration Review. May 11, 2013 Integration Review May 11, 2013 Goals: Review the funamental theorem of calculus. Review u-substitution. Review integration by parts. Do lots of integration eamples. 1 Funamental Theorem of Calculus In

More information

QUANTUMMECHANICAL BEHAVIOUR IN A DETERMINISTIC MODEL. G. t Hooft

QUANTUMMECHANICAL BEHAVIOUR IN A DETERMINISTIC MODEL. G. t Hooft QUANTUMMECHANICAL BEHAVIOUR IN A DETERMINISTIC MODEL G. t Hooft Institute for Theoretical Physics University of Utrecht, P.O.Box 80 006 3508 TA Utrecht, the Netherlans e-mail: g.thooft@fys.ruu.nl THU-96/39

More information

Quantum optics of a Bose-Einstein condensate coupled to a quantized light field

Quantum optics of a Bose-Einstein condensate coupled to a quantized light field PHYSICAL REVIEW A VOLUME 60, NUMBER 2 AUGUST 1999 Quantum optics of a Bose-Einstein conensate couple to a quantize light fiel M. G. Moore, O. Zobay, an P. Meystre Optical Sciences Center an Department

More information

Implicit Lyapunov control of closed quantum systems

Implicit Lyapunov control of closed quantum systems Joint 48th IEEE Conference on Decision an Control an 28th Chinese Control Conference Shanghai, P.R. China, December 16-18, 29 ThAIn1.4 Implicit Lyapunov control of close quantum systems Shouwei Zhao, Hai

More information

Concentration of Measure Inequalities for Compressive Toeplitz Matrices with Applications to Detection and System Identification

Concentration of Measure Inequalities for Compressive Toeplitz Matrices with Applications to Detection and System Identification Concentration of Measure Inequalities for Compressive Toeplitz Matrices with Applications to Detection an System Ientification Borhan M Sananaji, Tyrone L Vincent, an Michael B Wakin Abstract In this paper,

More information

Robust Forward Algorithms via PAC-Bayes and Laplace Distributions. ω Q. Pr (y(ω x) < 0) = Pr A k

Robust Forward Algorithms via PAC-Bayes and Laplace Distributions. ω Q. Pr (y(ω x) < 0) = Pr A k A Proof of Lemma 2 B Proof of Lemma 3 Proof: Since the support of LL istributions is R, two such istributions are equivalent absolutely continuous with respect to each other an the ivergence is well-efine

More information

arxiv: v2 [quant-ph] 27 Apr 2016

arxiv: v2 [quant-ph] 27 Apr 2016 Optimal state iscrimination an unstructure search in nonlinear quantum mechanics Anrew M. Chils 1,,3 an Joshua Young 3,4 arxiv:1507.06334v [quant-ph] 7 Apr 016 1 Department of Computer Science, Institute

More information

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1 Lecture 5 Some ifferentiation rules Trigonometric functions (Relevant section from Stewart, Seventh Eition: Section 3.3) You all know that sin = cos cos = sin. () But have you ever seen a erivation of

More information

Lower Bounds for the Smoothed Number of Pareto optimal Solutions

Lower Bounds for the Smoothed Number of Pareto optimal Solutions Lower Bouns for the Smoothe Number of Pareto optimal Solutions Tobias Brunsch an Heiko Röglin Department of Computer Science, University of Bonn, Germany brunsch@cs.uni-bonn.e, heiko@roeglin.org Abstract.

More information

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012 CS-6 Theory Gems November 8, 0 Lecture Lecturer: Alesaner Mąry Scribes: Alhussein Fawzi, Dorina Thanou Introuction Toay, we will briefly iscuss an important technique in probability theory measure concentration

More information

The effect of dissipation on solutions of the complex KdV equation

The effect of dissipation on solutions of the complex KdV equation Mathematics an Computers in Simulation 69 (25) 589 599 The effect of issipation on solutions of the complex KV equation Jiahong Wu a,, Juan-Ming Yuan a,b a Department of Mathematics, Oklahoma State University,

More information

Acute sets in Euclidean spaces

Acute sets in Euclidean spaces Acute sets in Eucliean spaces Viktor Harangi April, 011 Abstract A finite set H in R is calle an acute set if any angle etermine by three points of H is acute. We examine the maximal carinality α() of

More information

Stopping-Set Enumerator Approximations for Finite-Length Protograph LDPC Codes

Stopping-Set Enumerator Approximations for Finite-Length Protograph LDPC Codes Stopping-Set Enumerator Approximations for Finite-Length Protograph LDPC Coes Kaiann Fu an Achilleas Anastasopoulos Electrical Engineering an Computer Science Dept. University of Michigan, Ann Arbor, MI

More information

Chapter 4. Electrostatics of Macroscopic Media

Chapter 4. Electrostatics of Macroscopic Media Chapter 4. Electrostatics of Macroscopic Meia 4.1 Multipole Expansion Approximate potentials at large istances 3 x' x' (x') x x' x x Fig 4.1 We consier the potential in the far-fiel region (see Fig. 4.1

More information

Adiabatic elimination for open quantum systems with effective Lindblad master equations

Adiabatic elimination for open quantum systems with effective Lindblad master equations Aiabatic elimination for open quantum systems with effective Linbla master equations R. Azouit, A. Sarlette, P. Rouchon March 16, 2016 tion is stanar [17]. In contrast, for open quantum systems, escribe

More information

TEMPORAL AND TIME-FREQUENCY CORRELATION-BASED BLIND SOURCE SEPARATION METHODS. Yannick DEVILLE

TEMPORAL AND TIME-FREQUENCY CORRELATION-BASED BLIND SOURCE SEPARATION METHODS. Yannick DEVILLE TEMPORAL AND TIME-FREQUENCY CORRELATION-BASED BLIND SOURCE SEPARATION METHODS Yannick DEVILLE Université Paul Sabatier Laboratoire Acoustique, Métrologie, Instrumentation Bât. 3RB2, 8 Route e Narbonne,

More information

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation

More information

Generalization of the persistent random walk to dimensions greater than 1

Generalization of the persistent random walk to dimensions greater than 1 PHYSICAL REVIEW E VOLUME 58, NUMBER 6 DECEMBER 1998 Generalization of the persistent ranom walk to imensions greater than 1 Marián Boguñá, Josep M. Porrà, an Jaume Masoliver Departament e Física Fonamental,

More information

A. Incorrect! The letter t does not appear in the expression of the given integral

A. Incorrect! The letter t does not appear in the expression of the given integral AP Physics C - Problem Drill 1: The Funamental Theorem of Calculus Question No. 1 of 1 Instruction: (1) Rea the problem statement an answer choices carefully () Work the problems on paper as neee (3) Question

More information

Spectral Flow, the Magnus Force, and the. Josephson-Anderson Relation

Spectral Flow, the Magnus Force, and the. Josephson-Anderson Relation Spectral Flow, the Magnus Force, an the arxiv:con-mat/9602094v1 16 Feb 1996 Josephson-Anerson Relation P. Ao Department of Theoretical Physics Umeå University, S-901 87, Umeå, SWEDEN October 18, 2018 Abstract

More information

OPTICAL MODES IN PT-SYMMETRIC DOUBLE-CHANNEL WAVEGUIDES

OPTICAL MODES IN PT-SYMMETRIC DOUBLE-CHANNEL WAVEGUIDES THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 3, Number /, pp. 46 54 OPTICAL MODES IN PT-SYMMETRIC DOUBLE-CHANNEL WAVEGUIDES Li CHEN, Rujiang LI, Na

More information