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Non-Markovian dynami s in a spin star system: Exa t solution and approximation te hniques 1 1 1,2 Heinz-Peter Breuer, Daniel Burgarth, and Fran es o Petru ione 1 Physikalis hes Institut, Universität Freiburg, Hermann-Herder-Str. 3, D-79104 Freiburg, Germany 2 S hool of Pure and Applied Physi s, University of KwaZulu-Natal, 4041 Durban, South Afri a N 1 The redu ed dynami s of a entral spin oupled to a bath of spin-2 parti les arranged in a spin star on(cid:28)guration is investigated. The exa t time evolutioNn o→f th∞e redu ed density operator is derived, and an analyti al solution is obtained in the limit of an in(cid:28)nite number of bathspins,wherethemodelshows ompleterelaxationandpartialde oheren e. Itisdemonstrated that the dynami s of the entral spin annot be treated within the Born-Markov approximation. The Nakajima-Zwanzig and the time- onvolutionless proje tion operator te hnique are applied to 4 the spin star system. The performan e of the orresponding perturbation expansions of the non- 0 Markovian equations of motionis examined througha omparison with the exa tsolution. 0 2 PACSnumbers: 03.65.Yz,05.30.-d,75.10.Jm,73.21.La n a J I. INTRODUCTION Se . IIC we analyze the limit of an in(cid:28)nite number of 0 bath spins, dis uss the behavior of the von Neumann 1 entropy of the entral spin, and demonstrate that the Solidstatespinnanodevi esareknownasverypromis- 1,2,3,4 model exhibits omplete relaxation and partial de oher- ing andidates for quantum omputation and also 2 5 en e. Several non-Markovian approximation te hniques v for quantum ommuni ation . They provide a s alable aredis ussedinSe .III. Thedynami equationsfoundin 1 system that an easily be integrated into standard sili- se ondorderin the ouplingareintrodu edinSe .IIIA, 5 on te hnology. A drawba k of su h systems ompared where it is also demonstrated that the prominent Born- 0 to other proposals for quantum omputing, su h as ion 1 traps6 and avity QED7, are the many degrees of free- Markov approximation is not appli able to the spin star 0 model. Employing a te hnique whi h enables the al- domof the surroundingmaterial ausing dissipation and 4 8 ulation of the orrelation fun tions of the spin bath, de oheren e . The (cid:28)rst step in over oming these disad- 0 we derive in Se . IIIB the perturbation expansions or- / vantages is to be able to model them. h responding to the Nakajima-Zwanzig and to the time- An important ontribution to quantum noise in solid p onvolutionless proje tion operator te hnique and om- state systems arisesfrom the nu lear spins, and re ently - pare these approximations with the analyti al solution t mu h work has been devoted to the modeling of spin n forthe dynami s of the entral spin. Finally, the on lu- 9,10,11,12,13,14,15,16,17 a bath systems (for a review, see Refs. sions are drawn in Se . IV. u 18,19). The intera tion of a entral spin with a bath of q environmentalspinsoftenleadstostrongnon-Markovian v: behavior. The usual derivations of Markovian quantum 20 i masterequationsknown,e.g.,fromatomi physi s and II. EXACT DYNAMICS X 21 quantumopti s thereforefail formanyspin bath mod- r els and a detailed investigation of methods is required a A. The model whi h are apable of going beyond the Markovian ap- proximation. 29 In this paper, we examine the redu ed dynami s of a We Nons+id1er a (cid:16)spin star(cid:17)1 on(cid:28)guration whi h on- simple spin star system. The advantage of this model sistsof lo alizedspin-2 parti les. Oneofthespins is that, while showing several interesting features su h islo atedat the entie=ro1f,t2h,e..s.t,aNr, while theotherspins, as partial de oheren e and strong non-Markovian be- labeled by an index , surroundthe entral havior, it is exa tly solvable due to its high symme- spin at equal distan es on a sphere. In the language of 8 try. The model therefore represents an appropriate ex- open quantum systeσms we regard the entral spin with ample for a general dis ussion of the performan e of Pauli spin operator asan open system living in atwo- S various non-Markovian methods. We study here the dimensional Hilbertspa e H anσd(it)he surroundingspins Nakajima-Zwanzig22,23,24 and the time- onvolutionless des ribed by the spin operators as a sNpin bath with proje tion operator te hnique25,26,27,28 and derive and Hilbert spa e HB whi h is given by an -fold tensor analyzetheperturbationexpansionsofthe orresponding produ t of two dimeσnsional spa es. σ(i) non-Markovianmaster equations. The entral spin intera ts with the bath spins 30 The paperisorganizedasfollows. InSe . II, we intro- via a Heisenberg XX intera tion represented through du e the model investigated,a spin starmodel involving the Hamiltonian aHeisenbergXX oupling(Se .IIA), anddeterminethe αH =2α(σ J +σ J ), + − − + exa t time evolution of the entral spin (Se . IIB). In (1) 2 S where where tr denotes the partial tra e over the Hilbert J N σ(i), rsp(ta) e HvS(t)of the entral spin. We note tha1t the length ± ≡ ± (2) ρ ≡(t)| | of the Blo h ve tor is equal to if and only Xi=1 if S des ribSes a pure state, and that the von Neu- mann entropy of the entral spin an be expressed as r(t) and a fun tion of the length of the Blo h ve tor: 1 σ±(i) ≡ 2 σ1(i)±iσ2(i) (3) S ≡ trS{−ρSlnρS} (11) (cid:16) (cid:17) 1 1 i = ln2 (1 r)ln(1 r)+ (1+r)ln(1+r). represents the raising and lowering operators of the th − 2 − − 2 bath spin. The Heisenberg XX oupling has been found t=0 tobeane(cid:27)e tiveHamiltonianfortheintera tionofsome Theinitialstateoftheredu edsystemat istaken 31 quantum dot systems . Equation (1) des ribes a very to be an arbitrary (possibly mixed) state simple time independent intera tion with equal oupling α 1+v3(0) v (0) stitornensgatrhounfdorthaellzb-aatxhiss.pTinhs.e IotpiesraintovrarJian≡t u12ndeNi=r1roσt(ai)- ρS(0)= v+2(0) 1−−v23(0) !, (12) representsthe total spin an~gu=la1r momentum ofPthe bath (unitsare hosensu hthat ). The entralspinthus while the spin bath is assumed to be in an unpolarized ouples to the olle tive bath angular momentum. in(cid:28)nite temperature state: HBW eoninstisrtoidnug oefaJstnatOesN|jb,amsi,sνiin.mTthheesbeastthatJHe2silabreertdes(cid:28)pnae de ρB(0)=2−NIB. (13) 3 as eigenstates of (eigenvalue ) and of [eigenvalue j(j+1) ν IB B ℄. The index labels the di(cid:27)erent eigenstates in Here, denotes the unit matrix in H , and we have j,m (j,m) v± the eigenspa e M belongingj to aNgiven pajir m ojf dv1e,(cid:28)2ned the aslinear ombinationsof the omponents quantum numbers. As usual, ≤ 2 and − ≤ ≤ . of the Blo h ve tor: The dimension of Mj,m is given by the expression29,32 v1 iv2 v = ± . ± N N 2 (14) n(j,N)= . N/2 j − N/2 j 1 (4) (cid:18) − (cid:19) (cid:18) − − (cid:19) Theinitialstateofthetotalsystemisgivenbyanun or- ρ (0) ρ (0). S B Wefurtherintrodu etheusualsuperoperatornotation related produ t state ⊗ for the Liouville operator ρ(t) i[H,ρ(t)], L ≡− (5) B. Redu ed System Dynami s ρ(t) where denotesthedensitymatrixofthetotalsystem in the Hilbert spa e HS ⊗HB. The formal solution of Inthisse tion,wewillρdSe(rti)vetheexa tdynami softhe redu ed density matrix for the model given above. the von Neumann equation One possibility of obtaining the evolution of the entral d ρ(t)=α ρ(t) spin is to substitute Eq. (7) into Eq. (8) and to expand dt L (6) theexponentialwithrespe ttothe oupling. Thisyields ρ (t) exp(α t)ρ (0) ρ (0) an then be written as S B S B ≡ tr { L ⊗ } ρ(t)=exp(α t)ρ(0). ∞ (αt)k L (7) = kρ (0) 2−NI . B S B k! tr L ⊗ (15) k=0 Our main goal is to derive the dynami s of the redu ed X (cid:8) (cid:9) density matrix It is easy to verify that we have ρ (t) ρ(t) , S B ≡tr { } (8) H2n =4n[σ σ (J J )n+σ σ (J J )n] + − − + − + + − (16) B wheretr denotesthepartialtra etakenovertheHilbert B spa e H of the spin bath. The redu ed density matrix and is ompletely determined in terms of the Blo h ve tor H2n+1 =2 4n[σ σ (J J )n+σ σ (J J )n]. + − + − − + − + v (t) · (17) 1 v(t)= v (t) σρ (t) 2 S S  ≡tr { } (9) We note that su h simple expressionsare obtained sin e v (t) σ J 3 3 3 a term is missing in the intera tion Hamiltonian.   We substitute the last two equations into through the relationship n n ρS(t)= 12(cid:18)v1(1t)++v3i(vt2)(t) v1(1t−)−v3i(vt2)(t) (cid:19), (10) Lnρ=inkX=0(−1)k(cid:18)k(cid:19)HkρHn−k (18) 3 to get the formulas (29). We note that the dynami s an be expressed om- f (t) 12 trB L2k−1ρS(0)⊗2−NIB =0 (19) fp3le(tte).lyTthhirsoufag htoisnl yontwneo rteeadl-tvoaltuheedrfoutna ttioionnasl symmeatnrdy (cid:8) (cid:9) of the system. and Theredu edsystemdynami shasbeenobtainedabove exp(α t) B 2kρS(0) 2−NIB =( 16)kQkv3(0)σ3 with the help of an expaαnsion of L with respe t tr L ⊗ − 2 (20) tothe oupling onstant . Itshouldbe learthat,alter- (cid:8) k (cid:9) natively, the behavior of the entral spin may be found + (−4)k l=0(cid:18)22kl (cid:19)Rlk−l!(v−(0)σ++v+(0)σ−), fdoirret htley formompotshiteessoylsutteimon. oTfhtihsesSol uhtriöodnin gaenr eeaqsuilaytiobne X onstru tedbymakinguseofthefa tthatthesubspa es k =1,2,... + j,m,ν j,m+1,ν whi h holdfor all . Here, wehaveintrodu ed spannedbythestates| i⊗| iand|−i⊗| i the bath orrelationfun tions areinvariantundeσrthetimeevolution,where|±ide1notes 3 1 the eigenstate of belonging to the eigenvalue ± . Q (J J )k , k ≡ 2NtrB + − (21) Sometimes it is useful to express the redu ed dynam- 1 n o i s in terms of superoperators instead of the Blo h ve - Rlk−l ≡ 2NtrB (J+J−)k−l(J−J+)l . (22) tor. Tothisend,weintrodu esuperoperatorsS± andS3, n o Awhi harede(cid:28)nedbytheira tiononanarbitraryoperator : We will ome ba k to these orrelation fun tions when 1 A σ Aσ σ σ ,A , we dis uss approximation te hniques in Se . III. S± ≡ ± ∓− 2{ ∓ ± } (30) Using the formulas (19) and (20) in Eq. (15) we an A σ Aσ A. 3 3 3 express the omponents of the Blo h ve tor as follows, S ≡ − (31) v±(t) = f12(t)v±(0), With these de(cid:28)nitions we may write the redu eddensity (23) v (t) = f (t)v (0), matrix as follows, 3 3 3 (24) IS ρ (t)= S 2 (32) where we have introdu ed the fun tions 1 1 + f (t) f (t) f (t)( + ) ρ (0), f12(t) 2 2 3 − 12 S3− 3 S+ S− S ≡ (25) (cid:20)(cid:18) (cid:19) (cid:21) tr cos 2 J J αt cos 2 J J αt 2−NI , I B + − − + B S S ⊗ where denotes the unit matrix in H . Due to the n h p i h p i o non-unitary behavior of the redu ed system, the super- and operator on the right-hand side is not invertible for all f (t) tr cos 4 J J αt 2−NI . times. This point will be ome important later on when 3 ≡ B + − ⊗ B (26) we dis uss approximation strategies. n h p i o CaJl ulatinJg2thetra esoverthespinbathintheeigenbasis 3 C. The Limit of an in(cid:28)nite number of bath spins of and using J J j,m,ν =(j m)(j m+1) j,m,ν , ∓ ± | i ∓ ± | i (27) The expli it solution onstru ted in the previous se - N tiontakesonarelativelysimpleforminthelimit →∞ we (cid:28)nd of an in(cid:28)nite number of bath spins. It is demonstrated N f (t) in the appendix that for large the bath orrelation 12 ≡ fun tions approa hthe asymptoti expression cos[2h(j,m)αt]cos[2h(j, m)αt] j,mn(j,N) 2N − , (28) Qk ≈Rlk−l ≈ 2kk!Nk. (33) X Nk and Consequently, in Eq. (15) a termαo2fkthe order always o urs together with a fa tor of . A non-trivial (cid:28)nite cos[4h(j,m)αt] N f (t) n(j,N) , limit → ∞ therefore exists if we res ale the oupling 3 ≡ 2N (29) j,m onstant as follows, X α α . h(j,m) → √N (34) where we have introdu ed the quantity ≡ (j+m)(j m+1) − . Using this approximation in Eq. (20) one obtains pThus we have determined the exa t dynami s of the 2kρ (0) 2−NI ρ (t) B S B S tr L ⊗ redu ed system: The density matrix of the entral k (cid:8)( 8N) k! (cid:9) spinisgiventhroughthe omponentsoftheBlo hve tor − (v (0)σ +v (0)σ +v (0)σ ). 3 3 − + + − whi h are provided by the relations (23), (24) and (28), ≈ 2 (35) 4 If we insert this into Eq. (15) we get an in(cid:28)nite series whi h yields the following expressions for the fun tions f (t) f (t) 12 3 and , f (t)=1+g(t), f (t)=1+2g(t), 12 3 (36) where π g(t) αtexp( 2α2t2) (√2αt). ≡− − 2er(cid:28) (37) r (x) Note that er(cid:28) is the imaginary error fun tion. It is a real-valued fun tion de(cid:28)ned by (ix) (x) erf , er(cid:28) ≡ i (38) whi h leads to the Taylor series 2 ∞ x2k+1 (x)= . er(cid:28) √π k!(2k+1) (39) k=0 X Figures 1 and 2 show that this approximation obtained in thelimitofanin(cid:28)nite numberofbathspinsisalready N 200 reasonablefor ≈ . N →∞ Figure2: ComparisonofthelimitN =20 [seeNEq=s.2(0306.)and (37)℄ with the exva t fun tions for and The 3 (cid:28)gure shows the - omponentof the Blo h ve tor. is des ribed by the stationary density matrix 1 v−(0) lim lim ρ (t)= 2 2 . t→∞N→∞ S v+(0) 1 ! (40) 2 2 The 3- omponent of the Blo h ve tor relaxes to zero, while the o(cid:27)-diagonal elements of the density matrix show partial de oheren e, i.e. they assume half of their originalvalues. This behavioris alsore(cid:29)e tedin the von Neumann entropy of the redu ed system. Its dynam- r(0) i s depends on the initial entropy parametrized by v (0) 3 and on , whi h is obvious be ause the entropy is a s alar quantity and the system is invariant under rota- z tions around the -axis. Figure 3shows the entropyas a fun tion of time for di(cid:27)erent initial onditions. III. APPROXIMATION TECHNIQUES N →∞ In this se tion we will apply di(cid:27)erent approximation Figure1: ComparisonofthelimitN =20 [seeNEq=s.2(0306.)and te hniques to the spin star model introdu ed and dis- (37)℄ with the evx±a t fun tions for and The ussed in the previous se tion. Due to the simpli ity of plot shows the - omponentof the Blo h ve tor. thismodelwe annotonlyintegrateexa tlytheredu ed system dynami s, but also onstru t expli itly the vari- (x) By ontrast to erf , the imaginary error fun tion is ousmasterequationsforthedensitymatrixofthe entral g(t) tnot bounded. Hgo(wt)ever, 1 isbounded, and in the limit spin and analyzeand omparetheir perturbationexpan- →∞wehave →−2. Thus,inthislimitthesystem sions. In the following dis ussion we will sti k to the 5 Q 1 It is important to noti e that , as well as all other bath orrelationfun tions areindependent of time. This is to be ontrasted to those situation in whi h the bath orrelation fun tions de ay rapidly and whi h therefore allow the derivation of a Markovian master equation. Thetime-independen eofthe orrelationfun tionsisthe main reason for the non-Markovian behavior of the spin bath model. The integro-di(cid:27)erential equation (43) an easily be solved by a Lapla e transformation with the solution v (t) ± = cos 2√Nαt , v±(0) (45) (cid:16) (cid:17) v (t) S(t) v3(0) = cos 2√2Nαt . (46) Figure 3: Von Neumann entropy of the redNu e→d s∞ys- 3 (cid:16) (cid:17) Stemmaxfo≡r ldni(cid:27)2erent initial onditions in the limit . is the maximal entropy for a qubit, represent- In many physi al appli ations the integration of the ing a ompletelymixedstate. integro-di(cid:27)erential equation is mu h more ompli ated and one tries to approximate the dynami s through a master equation whi h is lo al in time. To this end, the v (s) v (s) Blo h ve tornotation. Ea h of the master equationsob- terms ± and 3 under the integral in Eq. (43) are v (t) v (t) tained aneasilybetransformedintoanequationinvolv- repla edby ± and 3 , respe tively. We thus arrive ing Lindblad superoperators [see Eqs. (30), (31)℄ using at the time-lo al master equation the translation rules d ρ (t) 1 dt S v σ = ρ , 3 3 2S3−S+−S− S (41) t (cid:26) (cid:27) = 4Nα2 ds(v (t)σ +v (t)σ +v (t)σ ) 1 − + − − + 3 3 v+σ−+v−σ+ = 3ρS. Z0 −2S (42) = 4Ntα2(v (t)σ +v (t)σ +v (t)σ ), + − − + 3 3 − (47) whi hissometimesreferredtoasRed(cid:28)eldequation. Also A. Se ond order approximations this master equation is easily solved to give the expres- sions v (t) The se ond order approximation of the master equa- ± = exp( 2Nα2t2), tionfortheredu edsystemisusuallyobtainedwithinthe v±(0) − (48) Bornapproximation8. Itisequivalenttothese ondorder v3(t) = exp( 4Nα2t2). of the Nakajima-Zwanzig proje tion operator te hnique, v (0) − (49) 3 whi h will be dis ussed systemati ally in Se . IIIB. In our model the Born approximation leads to the master TheRed(cid:28)eldequationisequivalenttothese ondorderof equation the time- onvolutionless proje tion operator te hnique, ρ˙S(t) whi h will also be dis ussed in detail in Se . IIIB. t In order to obtain, (cid:28)nally, a Markovian master equa- = ds B [H,[H,ρS(s) ρB(0)]] tion, i.e. atime-lo alequation involvingatime indepen- − tr { ⊗ } Z0 dentgenerator,onepushestheupperlimitoftheintegral t t = 8α2Q ds(v (s)σ +v (s)σ +v (s)σ ), inEq.(47)toin(cid:28)nity,thatisonestudiesthelimit →∞ 1 + − − + 3 3 − (43) of the master equation. This limit leads to the Born- Z0 Markov approximation of the redu ed dynami s. In the where the bath orrelationfun tion is found to be presentmodel,however,itisnotpossibletoperformthis 1 approximationbe ausetheintegranddoesnotvanishfor Q = J J t 1 2NtrB{ + −} large . Thus, the Born-Markov limit does not exist for the spin bath model investigated here and the des rip- 1 = σ(i)σ(j) tionofrelaxationand de oheren epro essesrequiresthe 2NtrB + −  usage of non-Markovianmethods. Xi,j  1 =  σ(i)σ(i) 2NtrB( + − ) B. Higher order approximations i X N = . A systemati approa h to obtain approximate non- 2 (44) Markovian master equation in any desired order is pro- 6 vided by the proje tion operator te hniques. We de(cid:28)ne and a proje tion superoperatorP through the relation 2 = 2 , L pc L ρ= B ρ ρB (cid:10) 2(cid:11) = (cid:10) 2(cid:11), P tr { }⊗ (50) L oc L (cid:10) 4(cid:11) = (cid:10) 4(cid:11) 2 2, ρB ρB(0) L pc L − L with the referen e state ≡ and introdu e the notation (cid:10) 4(cid:11) = (cid:10) 4(cid:11) (cid:10)3 (cid:11)2 2, L oc L − L (cid:10) 6(cid:11) = (cid:10) 6(cid:11) 2(cid:10) 2(cid:11) 4 +3 2 3, hXi≡PXP (51) L pc L − L L L (cid:10) 6(cid:11) = (cid:10) 6(cid:11) 15(cid:10) (cid:11)2(cid:10) (cid:11)4 +3(cid:10)0 (cid:11)2 3, n L oc L − L L L foranysuperoperatorX. Notethatthe(cid:16)moments(cid:17) hX i are operators in the total Hilbert spa e HS ⊗HB of the (cid:10) (cid:11) ··· (cid:10) (cid:11) (cid:10) (cid:11)(cid:10) (cid:11) (cid:10) (cid:11) ombined system. Inthetimeindependent asetheordered umulantsare There are two main proje tion operator methods: just the ordinary umulants know from lassi al statis- The Nakajima-Zwanzig (NZ) te hnique and the time- ti s. To al ulate thQeses fun Rtkio−nls one an againuse Eq. onvolutionless (TCL) te hnique. In our model, the ini- (20). The fun tions k and l arerealpolynomialsin N k tial onditions fa torize. The NZ and the TCL method of order . A method of determining these polynomi- therefore lead to relatively simple, homogeneous equa- als is sket hed in the appendix. tions of motion. The NZ master equation is an integro- If we express the resulting master equations in terms v (t) v (t) di(cid:27)erential equation forthe redu ed density matrix with ± 3 (t,τ) of and , we get for the TCL te hnique a memory N , whi h takes the form ∞ s t2n−1 t : v˙±(t) = α2n 2n v±(t), ρ˙ (t) ρ = dτ (t,τ)ρ (τ) ρ , TCL (2n 1)!! (57) S B S B n=1 − ⊗ N ⊗ (52) X Z0 ∞ 2q t2n−1 v˙ (t) = α2n 2n v (t), 3 3 (2n 1)!! (58) while the TCL master equation is a time-lo al equation n=1 − (t) X of motion with a time-dependent generator K , whi h reads and for the NZ method ∞ ρ˙S(t)⊗ρB =K(t)ρS(t)⊗ρB. (53) NZ: v˙±(t) = α2ns˜2nIn(t,τ)!v±(τ), (59) n=1 X ∞ BoththeNZandtheTCLmasterequation anof ourαse v˙ (t) = α2n2q˜ (t,τ) v (τ). 3 2n n 3 be expanded with respe t to the oupling strength . I ! (60) n=1 Sin e the intera tion Hamiltonian is time independent, X this expansion yields s2n s˜2n q2n q˜2n The quantities , , and represent real poly- N n t ∞ nomials in of the order . For example, we have dτ (t,τ)ρ (τ)= αn (t,τ) n ρ (τ) Z0 N S n=1 In hL ipc S (54) q2 = −4N, X q = 32N2, 4 − q = 1024N +1536N2 1536N3, for the NZ master equation, and 6 − − ∞ tn−1 ··· (t)= αn n q˜2 = 4N, K nX=1 (n−1)!hL ioc (55) q˜4 = −32N2, q˜ = 1024N +1536N2 1280N3, 6 − − for the TCL master equation, where we have introdu ed ··· the integral operator s = 4N, 2 − (t,τ) tdt t1dt tn−3dt tn−2dτ s = 48N +16N2, In ≡ 0 1 0 2··· 0 n−2 0 (56) 4 − s = 1024N 384N2+384N3, R R R nR 6 − − for the ease of notion. The symbol hL ipc denotes the n ··· partialn umulants and hL ioc the ordered umulants of s˜2 = −4N, order . Their de(cid:28)nitions an be found in Refs. 25,26, s˜ = 48N +48N2, 4 − 27,28. In our model we have s˜ = 1024N +2112N2 1216N3, 6 − − 2n+1 = 2n+1 =0 . L pc L oc ··· (cid:10) (cid:11) (cid:10) (cid:11) 7 (2n) The th-order approximation of the master equa- 2n 2n tions (denoted by TCL and NZ , respe tively)is ob- tained by trun ating the sums in Eqs. (57), (58) and in n Eqs. (59), (60) after the th term. In the TCL ase, the resulting ordinary di(cid:27)erential equations an be inte- grated very easily. The equation of motion of the NZ method an be solved with the help of a Lapla e trans- formation. However,itmaybeveryinvolvedto arryout the inverse transformation for higher orders. For exam- ple, the solution of the twelfth order of the NZ equation as obtained by standard omputer algebratools is (cid:28)lling some hundred pages, whereas the solution of the TCL equation an be written in a single line. The solutions of the master equations in se ond and fourth order are plotted in Figs. 4 and 5, together with the exa t solutions. We observe that both methods lead to a good approximation of the short-time behavior of the omponentsofthe Blo hve tor. Wefurtherseethat the TCL te hnique is not only easier to solve, but also provides a better approximation of the dynami s within a given order. Figure5: ComparisonoftheTCLandtheNZte hniquewith theexa tsolution. Theplotshowsthese ondandthefovu3r(tth) order approximations as well as the exa t solution of 100 [see Eqs. (24)and (29)℄ for a bath of spins. orresponding solution given by Eqs. (48) and (49) on- tains in(cid:28)nitely many orders. Of ourse, the expansion of theexa tsolution oin ideswiththeexpansionoftheap- 2n 2n proximations obtained with TCL or NZ within the (2n) th order. The errorofαT4CL2 orNZ2, for example,is therefore a term of order , as is illustrated in Fig. 6. Figure4: ComparisonoftheTCLandtheNZte hniquewith the exa t solution. The plαot shows the approximatiovn±s(tto) se ond and fourth order in and the exa t solution of 100 [see Eqs. (23) and (28)℄ for a bath of spins. Figure 6ǫ:(t)E≡rrorv±o(ft)T−CLv2±apparnodx(tN)Z2: The plot shows thve±d(et)- Sin e the TCLand the NZ method lead to expansions viation v±apopfrotxh(te)exa t solutαiton oftheequationsofmotionandnotoftheirsolutions,the fromtheappro(cid:12)(cid:12)ximate solution (cid:12)(cid:12) for small . solutions of the trun ated equations may ontain terms ofarbitraryorderin the ouplingstrength. Forexample, Con erningthelong-timebehavior,boththeTCLand even though TCL2 is a se ond order approximation, the the NZ method may lead to very bad approximations. 8 v (t) ± For example, in the fourth order approximationof (see Fig.4) the TCLaswell asthe NZ solutionleavethe Blo hsphere,i.e. fortimeslargerthansome riti altime these solutions do not represent true density matri es anymore. Ifwelookathigherorders,theNZmethodisseentobe better than the TCL method as far as the 3- omponent of the Blo h ve tor is on erned. An example is shown in Fig. 7, where we plot the tenth orderapproximations. v (t) 3 We observe that the solution of the TCL equation (58) is always greater than zero. This fa t is obviously onne ted to the stru ture of this equation, whi h takes v˙ (t) = (t)v (t) (t) 3 3 3 3 the form K with a real fun tion K . 3 v 3 If the - omponent of the Blo h ve tor vanishes at t = t 0 the time , then a time-lo al equation of motion of v˙ (t ) 3 0 this form an only be ful(cid:28)lled if is also zero. In our ase, however, the exa t solution passes zero with a 8 non-vanishing time derivative. It is a well-known fa t that the perturbation expansion of the TCL generator only exists, in general, for short and intermediate times and/or oupling strengths. This is re(cid:29)e ted in the fa t thatthesuperoperatorontheright-handsideofEq.(32) annotbeinvertedforalltimes,i.e. itisnotalwayspossi- v (0) v (t) 3 3 bletoexpress in termsof . Asimilarsituation also o urs in open systems intera ting with a bosoni reservoir, e. g., in the damped Jaynes Cummings model whi hdes ribesthe intera tion ofaqubitwith abosoni Figure 7: The TCL and the NZ approximation of the om- 100 reservoir at zero temperature. The NZ te hnique does ponents of the Blo h ve tor in tenth order for a bath of not lead to su h problems. However, sin e the ompo- spins. v (t) ± nents do not vanish, the orresponding high-order TCL approximation is still more a urate than the NZ approximation, as may be seen from Fig. 7. is mu h simpler than that of the non-lo al equations of the NZ te hnique. Itshouldbekeptinmind,however,thattheexpansion IV. CONCLUSION basedontheTCLmethod onverges,ingeneral,onlyfor shortandintermediateintera tiontimes. Forlargetimes Withthehelpofasimpleanalyti allysolvablemodelof the perturbation expansion may break down, whi h has aspin starsystem,wehavedis ussedtheperforman eof been illustratedin ourmodel to be onne ted to zerosof proje tion operator te hniques for the dynami s of open the omponents of the Blo h ve tor. It turns out that systemsandtheresultingperturbationexpansionsofthe theNZequationofmotionyieldsabetterapproximation equationsofmotion. Themodel onsistsofa entralspin of the exa t dynami s in this regime. surrounded by a bath of spins intera ting with the en- In view of the heuristi approa h to the Born and to XX tral spin through a Heisenberg oupling, and shows the Red(cid:28)eld equation (see Se . IIIA) it is sometimes omplete relaxation and partial de oheren e in the limit onje tured that a non-lo al equation of motion should of an in(cid:28)nite number of bath spins. Due to its high be generally better than a time-lo al one. The results symmetry the model allows a dire t omparison of the of Se . IIIB show that this onje ture is, in general, Nakajima-Zwanzig (NZ) and of the time- onvolutionless not true. The fa t that in a given order the time-lo al (TCL) proje tionoperator methods with the exa t solu- TCL equation is at least as good (and mu h simpler to tion in analyti al terms. deal with), if not better than the non-lo al NZ equation While the Born-Markov limit of the equation of mo- has also been observed in other spe i(cid:28) system-reservoir 8 tion does not exist in the model, the dynami s of the models , and has been on(cid:28)rmed by general mathemat- 33 entral spin exhibits a pronoun ed non-Markovian be- i al arguments . However, are must be taken when havior. It has been demonstrated that both the NZ and applying a ertain proje tion operator method to a spe- the TCL te hniques provide good approximations of the i(cid:28) model: The quality of the orresponding perturba- short-time dynami s. In pra ti al appli ations the TCL tion expansion of the equation of motion may strongly method is usually to be preferred sin e it leads to time- depend on the spe i(cid:28) properties of the model, e. g., the lo al equations of motion in any desired order with a intera tion Hamiltonian, the intera tion time, the envi- mu h easier mathemati al stru ture, whose integration ronmental state and the spe tral density. 9 For example, in our parti ular model the TCL expan- Appendix A: BATH CORRELATION FUNCTIONS sion to fourth order turns out to be more a urate than thefourthorderNZexpansion. However,thereisnorea- In this appendix we outline how to al ulate the bath son why TCL should be generally better then NZ. To orrelation fun tions larify further this point we onsider the Taylorseriesof 1 k the 3- omponent of the Blo h ve tor: Qk ≡ 2NtrB (J+J−) , (A1) v3(t)=a0+a2(αt)2+a4(αt)4+O (αt)6 . (61) Rk−l 1 n(J J )k−ol(J J )l . (cid:0) (cid:1) l ≡ 2NtrB + − − + (A2) The orresponding expansion obtained from TCL2 is n o J given by 3 a2 TJ2he tra e an be omputed in the eigenbasis of j and v3(t)=a0+a2(αt)2+ 2 (αt)4+ (αt)6 , m (see Se . IIB) yielding a sum of polynomialsin and 2a0 O (62) . However, it turns out that it is easier to use the (cid:0) (cid:1) omputational basis of the spin bath onsisting of the while NZ2 gives the expansion states a2 v (t)=a +a (αt)2+ 2 (αt)4+ (αt)6 . s1 s2 sN , 3 0 2 6a O (63) | i⊗| i⊗···⊗| i (A3) 0 (cid:0) (cid:1) s 0 1 i where the take on the values or and In our model the exa t oe(cid:30) ients of the expansion (61) are found to be 16 σ3(i)|sii=(−1)si|sii. (A4) a =1, a = 4N, a = N2. 0 2 4 − 3 (64) With the help of these states the problem is redu ed to a2 a ombinatorial one. Sin e Of ourse, the se ond order oe(cid:30) ient is the same in N raellpreoxdpua nesi oonrsr,e wthlyiltehienfoguerntehraolrdneerit hoeer(cid:30)T CieLnt2an4o.rHNoZw2- J± = σ±(i) (A5) ever,inourmodelitturnsoutthattheTCL2approxima- Xi=1 tionismorea uratebe ausethefourthorder oe(cid:30) ient we have 2aa22 = 126N2 (65) (J+J−)k = σ+(i1)σ−(i2)σ+(i3)σ−(i4)···σ+(i2k−1)σ−(i2k), 0 i1,X...,i2k (A6) found from the solution of the TCL equation is loser a 4 where the summation istaken overall possible ombina- to the orre t fourth order oe(cid:30) ient than the orre- i ,i ,...,i 1 2 2k tions of the indi es . Under the tra e over sponding oe(cid:30) ient a2 16 thebathwe ansorttheseindi es,withoutinter hanging 2 = N2 theoperatorsbelongingto thesameindex, and al ulate 6a 6 (66) 0 the partial tra es over the various bath spins separately. Let us denote the partial tra e over the Hilbert spa e i of the NZ equation (see Fig. 6). Thus we see that it i a of the th bath spin by tr . For example, we have for 4 k =2 depends ru ially on the value of whether TCL2 or : NZ2 is better. σ(1)σ(3)σ(4)σ(1) Choosing an appropriate intera tion Hamiltonian and trB + − + − initial state, one an easily onstru t examples where n o NZ2 is better thaancoTs(CαLt)2. For example, if v3(t) was a = tr1 σ+(1)σ−(1) tr3 σ−(3) tr4 σ+(4) 2N−3 0 osine fun tion , then NZ2 would avlr(eta)dy give = 0, n o n o n o the exa t solution.a Oexnpt(heαo2tt2h)er hand, if 3 was a (A7) 0 Gaussian fun tion − , then TCL2 would re- σ(i) = 0 2N−3 produ etheexa tsolutionbe ausethehigher umulants sin e tri ± . Note that the fa tor appears of a Gaussian fun tion vanish. (Nn 3o) i I =2 due to − fa tors of tr { } . These fa tors arise I The features dis ussed above should be taken into a - from the partial tra es of the unit matri es in the spin ount in appli ations of proje tion operator methods to spa es, whi h we did not write expli itly. As a further k=4 spe i(cid:28) open systems. In the general ase in whi h an example, we have for : analyti al solution is not known a areful analyti al or numeri alinvestigationofthehigherordersoftherespe - trB σ+(1)σ−(3)σ+(1)σ−(1)σ+(3)σ−(1) toifvteheexTpaCnLsioorntshiestNhZusminetdhisopde,ntshaebilne(cid:29)tuoejnu degoeftihneitqiaula loitry- =ntr1 σ+(1)σ+(1)σ−(1)σ−(1) tr3o σ−(3)σ+(3) 2N−2 relations,ortoestimatethetimes aleoverwhi hone an = 0, n o n o trust the approximationobtained within a given order. (A8) 10 σ(i)σ(i) = 0 be ause of ± ± . An example of a non-vanishing It should be lear that the above method of determin- term is given by ing the orrelation fun tions is easily translated into a Q k σ(1)σ(2)σ(2)σ(1) nRukm−leri al ode from whi h one obtains the and the trB + − + − l in any desired order. n o = σ(1)σ(1) σ(2)σ(2) 2N−2 tr1 + − tr2 − + N k N = 2N−n2, o n o (A9) noFmoirals Q≥k a,nthdeRtelkr−ml iosfrleeapdkreinsegnotredderbyintheosfutmhempaonldys- with a maximal number of di(cid:27)erent indi es, be ause tr σ(i)σ(i) =1 where we have used that i ∓ ± . these terms have the largest ombinatorial weight. Af- n o ter sorting the spin operators, these terms will have the Inviewofthese onsiderationswearenowleftwiththe following form, ombinatorial problem of determining all nonzero sum- k l mandsforthegivenvaluesof and . Asanexample,let Q 2 us al ulate expli itly the orrelationfun tion . From its de(cid:28)nition we have 1 σ(i1)σ(i1)σ(i2)σ(i2) σ(ik)σ(ik). Q = J J J J + − + − ··· + − (A12) 2 2NtrB{ + − + −} 1 = σ(i1)σ(i2)σ(i3)σ(i4) . 2N trB + − − + (A10) i1,iX2,i3,i4 n o N There are k di(cid:27)erent ways of assigning the indi es The nonzero summands in this expression have the fol- i ,i ,...,i 1 2 k (cid:0)to(cid:1)this term. Fora(cid:28)xedsetofindi es, there lowing stru ture: k! k! are · di(cid:27)erenttermsinthesum(A6)whi hleadtothe σ+(i)σ−(i)σ+(i)σ−(i) → N possibilities, sortedexpression(Aσ+12), orrespondingtoaσp−ermutation σ(i)σ(i)σ(j)σ(j) N(N 1) of the labels of all operatorsand of all2N−okperators. + − + − → − possibilities, The tra e of the expression (A12) yields . Hen e, σ+(i)σ−(j)σ+(j)σ−(i) → N(N −1) possibilities, the term of leading order of the polynomial Qk is found to be i = j where 6 in the se ond and the third line. Colle ting these results we (cid:28)nd 1 Q2 = 2N N ·2N−1+2·N(N −1)·2N−2 2−N N k! k!2N−k Nkk!. N2(cid:0) (cid:1) k · ≈ 2k (A13) = . (cid:18) (cid:19) 2 (A11) ARk−silmilar pro edure must be arried out to al ulate l . We state some results: Rk−l N 1 3 3 Asimilarproofholdsfor l . Thus,wehavefor →∞ Q = N N2+ N3, k 3 2 − 4 4 and (cid:28)xed: 3 Q = 2N +5N2 4N3+ N4, 4 − − 2 ··· R11 = −12N + 21N2, Qk ≈Rlk−l ≈ 2kk!Nk, (A14) 1 5 3 R1 = N N2+ N3, 2 2 − 4 4 5 23 19 3 R1 = N + N2 N3+ N4, 3 −2 4 − 4 2 . ··· whi h has been used in Se . IIC. 1 2 M.A.NielsenandI.L.Chuang,QuantumComputationand D.LossandD.P.DiVin enzo,Phys.Rev.A57,120(1998). 3 QuantumInformation (CambridgeUniversityPress,Cam- B.E. Kane, Nature 393, 133 (1998). 4 bridge, 2000). D.D. Aws halom, N. Samarth, and D. Loss, Semi ondu -

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