Chapter 2: Quantum Master Equations

Size: px
Start display at page:

Download "Chapter 2: Quantum Master Equations"

Transcription

1 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 = i/ [H, ρ]. It is calle a superoperator because it is an object that acts on an operator an results in a new operator. If the Hamiltonian is time-inepenent, we may formally integrate the Liouville von Neumann equation an obtain ρ(t) = exp (Lt) ρ() V(t)ρ(), (2) where V is another superoperator that maps the ensity matrix from its initial form to its form at time t an therefore is calle a ynamical map. It is relate to the unitary evolution operator U(t) = exp( iht/ ) accoring to V(t)ρ() = U(t)ρ()U(t). (3) B. Quantum ynamical semigroups Now let us inclue also interaction between the system of interest an its environment. In the following, we will use ρ S for the reuce ensity operator for the system an Tr E {ρ} for the partial trace over the environment. As the ynamics of the combination of system an environment is fully coherent, we have ρ(t) = U(t)ρ()U(t), (4) which after taking the trace over the environment on both sies results in ρ S (t) = Tr E {U(t)ρ()U(t) }. (5) In many typical situations, the initial state between the system an the environment is a prouct state of the form ρ() = ρ S () ρ E (). (6)

2 2 Then, we may again think of the right han sie of the previous equation to efine a superoperator representing a ynamical map V(t), but now for S alone! Furthermore, we may use the following ecompositions [1] ρ E () = α V(t)ρ S () = αβ λ α ψ α ψ α (7) W αβ (t)ρ S ()W αβ (t), (8) where the operators W αβ act only on the Hilbert space of the system an are given by W αβ (t) = λ β ψ α U(t) ψ β. (9) From the completeness of the states ψ α on the Hilbert space of the environment, we may ientify the relation from which follows W αβ (t)w αβ (t) = 1 S, (1) αβ Tr{V(t)ρ S ()} = Tr{ρ S } = 1, (11) i.e., the ynamical map is trace-preserving. Moreover, it is completely positive, mapping a positive ensity matrix onto another positive ensity matrix [1]. In many important cases, we can make one further assumption on the ynamical map V(t). If correlations in the environment ecay much faster than the timescale of the evolution in the system of interest, we may neglect memory effects escribing how the system has previously interacte with the environment. This is also known as the Markov approximation. For example, consier a thermal state of the environment of the form ρ E = n 1 Z exp( βe n) n n, (12) where Z = n exp( βe n) is the partition function, β is the inverse temperature an E n is the energy of the state n. Then, if the environment is large an its ynamics is fast enough, any energy exchange with the system will quickly issipate away to form a new thermal state with almost exactly the same temperature. Then, from the viewpoint of the system, the state of the environment will appear to be almost constant all the time. Formally, we can express the consequences of the Markov approximation on the ynamical map as [1] V(t 1 )V(t 2 ) = V(t 1 + t 2 ) t 1, t 2. (13)

3 3 Note that the constraint on the times being positive means that we can only piecewise propagate the system forwar in time, i.e, the inverse of the ynamical map oes usually not exist. This is in contrast to coherent ynamics, where there is an inverse operation corresponing to negative time arguments in the unitary evolution operator. Hence, while the ynamical maps of coherent systems form a group, the ynamical maps for open quantum systems only form a semigroup. The generator of the semigroup is the Liouvillian L, which is a generalization of the superoperator appearing on the right han sie of the Liouville von Neumann equation. One important consequence of this generalization is that the von Neumann entropy is no longer a conserve quantity. However, the Liouvillian has to fulfill the property of being the generator of a completely positive an trace-preserving ynamical map. In the following, we will see how the most general form of the Markovian master equation will look like. C. Most general form of the ynamics Similar to the case of a close quantum system, we can write the ynamical map of an open quantum system as an exponential of the generator of the semigroup, V(t) = exp (Lt). (14) The superoperator L reuces to the one of the Liouville von Neumann equation in the case of purely coherent ynamics, but in general will have aitional incoherent terms. Expaning the ynamical maps for short times τ, we obtain ρ(t + τ) = V(τ)ρ(t) = (1 + Lt) ρ(t) + O(τ 2 ), (15) which in the limit τ yiels a first-orer ifferential equation known as a quantum master equation, ρ(t) = Lρ(t). (16) t Let us now erive an explicit form for the master equation. For this, we nee to efine an operator basis {F i }. The inner prouct for operators is efine as { } F i, F j Tr F i F j. (17) A complete orthonormal set consists of N 2 operators, where N is the Hilbert space imension. It is convenient to choose one of the operators as proportional to the ientity, i.e.,

4 4 F 2 N = 1/ N [1]. Then, all other operators are traceless. For example, in a two-level system, the remaining operators are proportional to the Pauli matrices. We can now express the action of the ynamical map using this operator basis as V(t)ρ = where the coefficients c ij (t) is given by c ij (t) = αβ N 2 i,j=1 c ij (t)f i ρf j, (18) F i, W αβ (t) F j, W αβ (t) (19) with the operators W αβ efine as above. The coefficients c ij (t) form a postive matrix C, as for any N 2 -imensional vector v, we have [1] v Cv = v i F i, W αβ (t) αβ i Inserting this expansion into the quantum master equation, we obtain V(t)ρ ρ Lρ = lim τ τ [ 1 c N = lim 2 N 2(τ) N ρ + 1 N 2 1 ( cin 2(τ) τ N τ N τ i=1 ] N i,j=1 c ij (τ) F i ρf j τ 2. (2) F i ρ + c ) N 2 i(τ) ρf i τ (21) (22), (23) where we separate off all terms containing F N 2 N 2 = 1 N. As a next step, we efine the following quantities c ij (τ) a ij = lim τ τ F = 1 N 2 1 lim N i=1 G = 1 2N lim τ τ i, j = 1,..., N 2 1 (24) c in 2(τ) F i (25) τ c N 2 N 2(τ) N τ (F + F ) (26) H = 1 2i (F F ). (27) Note that the operator H is Hermitian, although F is not because the coefficients c in 2 complex. Using these efinitions, we fin for the generator are Lρ = i[h, ρ] + {G, ρ} + N 2 1 ij=1 a ij F i ρf j. (28)

5 5 Since the ynamical map is trace-preserving, the trace over quantum master equation has to vanish, i.e., Tr {Lρ} = Tr {( 2G + from which we can rea off that G has to be G = 1 2 N 2 1 ij=1 N 2 1 ij=1 a ij F i F j ) ρ } =, (29) a ij F i F j. (3) Substituting this result back into the quantum master equation, we obtain Lρ = i[h, ρ] + N 2 1 i,j=1 a i j ( F i ρf j 1 { F j 2 F i, ρ} ). (31) Finally, the matrix forme by the coefficients a ij is again Hermitian an positive, so we can iagonalize it to obtain positive eigenvalues γ i. Then, we fin the most general form of a Markovian quantum master equation to be given by Lρ = i[h, ρ] + N 2 1 i=1 ( γ i A i ρa i 1 { A i 2 A i, ρ} ), (32) where the operators A i are appropriate linear combinations of the operators F i obtaine from the iagonalization proceure. This form of the quantum master equation is known as the Linbla form, as Linbla first showe that the generator of a Markovian master equation has to be of that form [2]. The system Hamiltonian is containe in the Hermitian operator H, but the latter can also inclue aitional terms coming from the interaction with the environment. Furthermore, the eigenvalues γ i correspon to relaxation rates escribing incoherent ecay processes in the system. Typically, these ecay processes will result in the system eventually reaching a stationary state characterize by t ρ =. However, such a stationary state oes not necessarily mean the absence of any ynamics: for example, a single realization of two-level system in a maximally mixe state might still violently jump between both levels! Only when the ensemble average is taken, the ynamics will vanish.

6 6 II. THE QUANTUM OPTICAL MASTER EQUATION A. Weak-coupling approximation In the following, we will consier a system S that is weakly couple to a bath B. The Hamiltonian of the combine system is given by H = H S + H B + H I, (33) where H S enotes the part of Hamiltonian only acting on S, H B only acts on B, an H I accounts for the interaction between the two. We first perform a unitary transformation ρ = U(t)ρ U(t) into the interaction picture, i.e. (assuming = 1), U(t) = exp[ i(h S + H B )t]. (34) Inserting the transforme ensity matrix into the Liouville von Neumann equation, we obtain which can be brought into the convenient form ( U(t)ρ U(t) ) = i[h, U(t)ρ U(t) ], (35) t t ρ = i[h I(t), ρ]. (36) The interaction Hamiltonian is now time-epenent accoring to H I (t) = U (t)h I U(t) = exp[i(h S + H B )t]h I exp[ i(h S + H B )t]. (37) We can formally integrate the Liouville von Neumann equation an obtain t ρ(t) = ρ() i s[h I (s), ρ(s)]. (38) This expression can be inserte back into the Liouville von Neumann equation an after taking the trace over the bath, we arrive at [1] t t ρ S(t) = str B {[H I (t), [H I (s), ρ(s)]]}, (39) where we have assume that the initial state is such that the interaction oes not generate any (first-orer) ynamics in the bath, i.e., Tr B {[H I (t), ρ()]} =. (4)

7 7 So far, we have mae little progress, as the right-han sie of the equation of motion still contains the ensity operator of the full system. To obtain a close equation of motion for ρ S only, we assume that the interaction is weak such that the influence on the bath is small. This is also known as the Born approximation. Then, we may treat the bath as approximately constant an write for the total ensity operator ρ(t) = ρ S (t) ρ B. (41) Then, we obtain a close integro-ifferential equation for the ensity operator ρ S, t t ρ S(t) = str B {[H I (t), [H I (s), ρ S (s) ρ B ]]}. (42) Such an integro-ifferential equation is very ifficult to hanle as the ynamics at time t epens on the state of the system in all previous times. The equation of motion can be brought into a time-local form by replacing ρ S (s) by ρ S (t). As we will see later on, this is not really an approximation, but alreay implicit in the weak-coupling assumption. This step brings us to an equation known as the Refiel master equation [1], t t ρ S(t) = str B {[H I (t), [H I (s), ρ S (t) ρ B ]]}. (43) This equation is still a non-markovian master equation an oes not guarantee to conserve positivity of the ensity matrix ue to approximations we have mae. B. Markov approximation To obtain a Markovian master equation, we first substitute s by t s in the integran, which oes not change the bouns of the integration. Then, we can unerstan the parameter s as inicating how far we go backwars in time to account for memory effects, which can be characteristic timescale τ B, over which correlations in the bath ecay. Uner the Markov approximation, these memory effects are short-live an therefore the integran ecays very quickly for s τ B. Then, we may replace the upper boun of the integration by infinity, an obtain a Markovian master equation, t ρ S(t) = str B {[H I (t), [H I (t s), ρ S (t) ρ B ]]}. (44)

8 8 The typical timescale of the ynamics generate by this master equation is characterize by τ R, which is the relaxation time of the system ue to the interaction with the bath. For the Markov approximation to be vali, this relaxation time has to be long compare to the bath correlation time, i.e, τ R τ B. For quantum optical systems, τ B is the inverse of the optical frequency, i.e., several inverse THz, while the lifetime of an optical excitation is in the inverse MHz range. Therefore, the Markov approximation is well justifie in quantum optical systems. The two approximation we have mae so far are often groupe together as the Born- Markov approximation. However, they still o not guarantee that the resulting master equation generates a quantum ynamical semigroup an hence cannot be cast into a Linbla form. For this, another approximation is necessary. C. Secular approximation The secular approximation involves iscaring fast oscillating terms in the Markovian master equation. It is therefore similar to the rotating-wave approximation (RWA) use in NMR an quantum optics. However, applying the RWA irectly on the level on the interaction Hamiltonian can cause problems such as an incorrect renormalization of the system Hamiltonian [3]. The secular approximation (which is sometimes also calle RWA), however, is carrie out on the level of the quantum master equation. To be explicit, let us write the interaction Hamiltonian in the form H I = α A α B α, (45) where the Hermitian operators A α an B α only act on system an bath, respectively. Assume, we have alreay iagonalize the system Hamiltonian H S, so we know its eigenvalues ε an its projectors onto eigenstates Π(ε). Then, we can project the operators A α on subspaces with a fixe energy ifference ω [1], A α (ω) = Π(ε)A α Π(ε ). (46) ε ε=ω As the eigenvectors of H S form a complete set, we can recover A α by summing over all frequencies, A α (ω) = A ω = A α. (47) ω ω

9 9 Then, we can write the interaction Hamiltonian as H I = α,ω A α (ω) B α = α,ω A α (ω) B α. (48) Using the relation exp(ih s t)a α (ω) exp( ih s t) = exp( iωt)a α (ω) (49) an its Hermitian conjugate, we can write the interaction Hamiltonian in the interaction picture as H I (t) = α,ω exp( iωt)a α (ω) B α (t) = α,ω exp(iωt)a α (ω) B α (t), (5) where we have introuce the interaction picture operators of the bath, B α (t) = exp(ih B t)b α exp( ih B t). (51) Inserting this expression into the Markovian master equation leas us to [1] t ρ = str B {H I (t s)ρ S (t)ρ B H I (t) H I (t)h I (t s)ρ S (t)ρ B } + H.c. (52) = e i(ω ω)t Γ αβ (ω) [ A β (ω)ρ S (t)a α (ω ) A α (ω ) A β (ω)ρ S (t) ] + H.c., (53) ω,ω αβ where we have use the one-sie Fourier transform of the bath correlation functions, Γ αβ = s exp(iωs)tr B { Bα (t) B β (t s)ρ B }. (54) In the case where the state of the bath ρ B is an eigenstate of the bath Hamiltonian H B, the bath correlations o not epen on time. The secular approximation is then referre to as the omission of all terms with ω ω, as these terms oscillate fast an average out. Again, in quantum optical systems, this comes from the fact that optical transition frequencies are much larger than the ecay rates of excite states, i.e., τ R τ S. Hence, we obtain t ρ = ω Γ αβ (ω) [ A β (ω)ρ S (t)a α (ω) A α (ω) A β (ω)ρ S (t) ] + H.c. (55) αβ

10 1 This master equation can now be cast into a Linbla form. For this, we split real an imaginary parts of the coefficients Γ αβ accoring to Γ αβ (ω) = 1 2 γ αβ(ω) + is αβ (ω), (56) where the real part can be written as γ αβ (ω) = Γ αβ (ω) + Γ αβ (ω) = s exp(iωs) B α (s) B β () (57) an forms a positive matrix [1]. Then, iagonlizing the coefficient matrix yiels the Linbla form for the yanmics t ρ = i [H LS, ρ S (t)] + ω,k ( γ k (ω) A k (ω)ρ S A k (ω) 1 { } ) Ak (ω) A k (ω), ρ S, (58) 2 where the Lamb shift Hamiltonian H LS commutes with the system Hamiltonian an hence results in a renormalization of the energy levels. This master equation is still expresse in the interaction picture, it can be transforme back to the Schringer picture by aing the system Hamiltonian H S to the coherent part of the ynamics. D. Interaction with the raiation fiel In the case of an atom interacting with the quantize raiation fiel, the Hamiltonian for the latter is given by a sum of harmonic oscillators, H B = kλ ω k a kλ a kλ, (59) where λ is the polarization inex [4]. If the wavelength of the raiation fiel is much larger than the spatial extent of the atomic wavefunction, the ominant interaction term is given by the electric ipole term, H I = E, (6) where is the ipole operator of the atom an E is the quantize electric fiel, E = i hωk V e ( ) λ a kλ a kλ. (61) kλ

11 11 We now assume the reference state of the bath, ρ B is the vacuum without any photons. Then, we can use the following relations for the reservoir correlations [1] a kλ a k λ = a kλ a k λ = a kλ a k λ = (62) a kλ a k λ = δ kk δ λλ (63) e i kλ e j kλ = δ ij k ik j k. (64) 2 Using this, we fin for the spectral correlation tensor λ Γ ij = k hω k V Going to the continuum limit, we can use 1 V k Ω ( δ ij k ) ik j s exp[ i(ω k 2 k ω)s]. (65) ( δ ij k ik j k 2 (2π) 3 c 3 ω k ωk 2 Ω (66) ) = 8π 3 δ ij. (67) k (2π) = 1 3 Fortunately, this means that the spectral correlation tensor is alreay in a iagonal form an we can irectly obtain a Linbla form for the master equation. For the s-integration, we make use of the relation s exp[ i(ω k ω)s] = πδ(ω k ω) + PV 1 ω k ω, (68) where PV enotes the Cauchy principal value. We can thus split the spectral correlation tensor into its real an imaginary part to obtain the ecay rate an the Lamb shift, respectively. Note. however, that the expression for the Lamb shift is ivergent as we have neglecte relativistic effects that become relevant for large values of ω k. Since it only gives a slight renormalization of the energy levels of the atom, we neglect it in the following. For simplicity, let us consier the case where we are intereste in the transition between only two atomic levels iffering by the frequency ω. Then, we finally arrive at the master equation in Linbla form, where we have use the spontaneous emission rate ( t ρ = γ σ ρσ + 1 ) 2 {σ +σ, ρ}, (69) γ = 4ω2 3 c 3 (7)

12 12 an the spin flip operators σ ± = 1 2 (σ x ± iσ y ). (71) The master equation can be solve by expaning it into Pauli matrices. The vector σ is known as the Bloch vector an the equations of motion for its component ecouple, t σ x = γ 2 σ x (72) t σ y = γ 2 σ y (73) t σ z = γ( σ z + 1). (74) From this, we see that the off-iagonal elements of the ensity matrix ecay exponentially with the rate γ/2, a phenomenon which is calle ecoherence. The z-component of the Bloch vector ecays exponentially with the rate γ to a steay state of σ z = 1, i.e., the atom ens up in the state with lower energy. E. Resonance fluorescence Let us assume now that in aition to the raiation fiel being in the vacuum state, there is a single moe that is being riven by an external laser. As the laser only affects a single moe, we can ignore its effect on the issipative ynamics, i.e., the only consequence results from the Hamiltonian of the form H L = E cos(ωt), (75) where we have assume that the laser is on resonance with the atom. Denoting the two levels of the atom by g, an e, respectively, we can go into the rotating frame of the laser riving by making the unitary transformation e = exp(iωt) e. (76) Inserting back into the master equation, we see that the rotation exactly compensates the energy ifference between e an g, an the laser term becomes H L = E [1 + exp(2iωt)] (77) 2

13 13 In the rotating wave approximation we neglect the fast oscillating term. Then, we can write the laser Hamiltonian as H L = Ω 2 (σ + + σ ), (78) where we have introuce the Rabi frequency Ω = E. The total quantum master equation then reas ( t ρ = i [H L, ρ] + γ σ ρσ + 1 ) 2 {σ +σ, ρ}. (79) The interesting aspect about this master equation is that it exhibits a competition between the coherent ynamics generate by the laser an the issipative ynamics arising from the ecay into the vacuum of the raiation fiel. As before, we can write the master equation as an equation of motion for the Bloch vector [1], t σ = G σ + b, (8) using the matrix G an the vector b given by γ/2 G = γ/2 Ω, b =, (81) Ω γ γ respectively. This equation of motion is calle the optical Bloch equation. Its stationary state σ s can be foun from the conition /t σ = an is given by Note that the population of the excite state, σ z s = γ2 γ 2 + 2Ω 2 (82) σ + s = σ s = Ωγ γ 2 + 2Ω. 2 (83) p e = 1 2 (1 + σ z s ) = Ω 2 γ 2 + 2Ω 2 (84) is always less than 1/2 even in the limit of strong riving, i.e., Ω γ. Thus, it is not possible to create population inversion in a two level system in the stationary state by coherent riving. The population will merely saturate at p e = 1/2. It is also interesting to look at the relaxation ynamics towars the stationary state. For this, we introuce another vector expressing the ifference between the Bloch vector an the stationary solution [1], i.e., δ σ = σ σ s. (85)

14 14 The ynamics of this vector is escribe by a homogeneous ifferential equation, We fin the eigenvalues of G to be δ σ = Gδ σ. (86) t λ 1 = γ 2 (87) λ 2/3 = 3 γ ± iµ (88) 4 where µ is given by ( γ ) 2. µ = Ω 2 (89) 4 Since all eigenvalues have negative real parts, all coefficients of the δ σ vector will eventually ecay an the stationary state σ s is reache. If the atom is initially in the state g, the resulting ynamics is given by [ Ω 2 p e = 1 exp ( 34 ) ( γ 2 + 2Ω γt cos µt + 3 γ 2 4 µ σ ± = Ωγ [ 1 exp ( 34 ) ( γ 2 + 2Ω γt cos µt + 2 )] sin µt { γ 4µ Ω2 γµ (9) } )] sin µt. (91) III. PROJECTION OPERATOR TECHNIQUES A. Relevant an irrelvant part While Markovian master equations have a broa range of applications, in some situations the assumption of rapily ecaying correlations in the environment is not vali. In particular, this is the case for isolate homogeneous quantum many-boy systems, where the equilibration of local observables can only occur ue to interaction with its surrounings. The complete ynamics is governe by the Liouville-von Neumann equation of the full system accoring to t ρ = i [H, ρ] = L(t)ρ. (92) Here, we aim at eriving a close reuce ynamical equation for the subunit uner consieration. This is one by introucing a projection superoperator P that projects onto the relevant part of the full ensity operator ρ [1]. The ynamics of the reuce system is no longer unitary, but escribe by P ρ = PL(t)ρ. (93) t

15 15 In many cases P efines a projection onto a tensor prouct state of one subsystem an a reference state ρ E of the environment acooring to Pρ = Tr E {ρ} ρ E. (94) However, it is also possible to generelize this approach to inclue correlations between system an environment [5]. For example, consier the case of a two-level system resonantly couple to an environment consisting of two energy bans at the eigenenergies of the system. Then, we can introuce a projection superator given by Pρ = Tr {Π µ ρ} 1 Π µ, (95) n µ µ=1,2 where n is the number of levels in the energy ban an the projectors Π µ are given by Π µ = n µ µ µ n µ n µ. (96) As these projectors act on both the system an the environment, the relevant part inclues correlations between system an environment. In orer to obtain a close equation for the relevant part, we efine another projection superoperator Q projecting on the irrelevant part of the full ensity matrix ρ, i.e., leaing to the ynamics escribe by Qρ = ρ Pρ, (97) Q ρ = QL(t)ρ. (98) t Being projection operators onto ifferent parts of the system, P an Q have to satisfy the relations P + Q = I (99) P 2 = P (1) Q 2 = Q (11) PQ = QP =, (12) where I is the ientity operation. Then, we can erive a set of ifferential equations escribing the ynamics, P ρ = PL(t)Pρ + PL(t)Qρ (13) t Q ρ = QL(t)Pρ + QL(t)Qρ. (14) t

16 16 B. The Nakajima-Zwanzig master equation One possibility to tackle these equations is to formally solve the secon equation for Qρ, resulting in Qρ(t) = t t s G(t, s)ql(s)pρ(s), (15) with an appropriate propagator G(t, s), while assuming factorizing initial conitions, i.e., Qρ(t ) =. Inserting this solution for the irrelevant part into the ifferential equation for the relevant part leas to a close integro-ifferential equation known as the Nakajima-Zwanzig equation [6, 7]. Although it allows for a systematic perturbation expansion its structure is usually very complicate because every orer requires the integration over superoperators involving the complete history of Pρ. Therefore, its applicability to many-boy problems is rather limite. C. The time-convolutionless master equation A ifferent approach tries to explicitly avoi the integral over the complete history by looking at the inverse of the time evolution. We replace the ρ(s) in the above equation by ρ(s) = G(t, s)(p + Q)ρ(t), (16) where G(t, s) is the backwar propagator of the full system, i.e., the inverse of its unitary evolution. We then can write the solution of the irrelevant part as Qρ(t) = Σ(t)(P + Q)ρ(t), (17) where we have introuce the superoperator t Σ(t) = s G(t, s)ql(s)pg(t, s). (18) t We then move all occurrences of Qρ(t) to the left-han sie. The superoperator 1 Σ(t) may be inverte for small times or weak interactions with the irrelevant part [1], leaing to Qρ(t) = [1 Σ(t)] 1 Pρ(t). (19)

17 17 Inserting this result into the ifferential equation for the relevant part yiels P t ρ(t) = PL(t)[1 Σ(t)] 1 Pρ(t). (11) Since this ifferential equation for the relevant part oes not involve a convolution integral as in the Nakajima-Zwanzig equation, it is calle the time-convolutionless (TCL) master equation [8]. The TCL generatior is efine as K(t) = PL(t)[1 Σ(t)] 1 P. (111) In orer to perform a perturbation expansion of K(t) we rewrite [1 Σ(t)] 1 as a geometric series, allowing to write the TCL generator as K(t) = n PL(t)Σ(t) n P n λ n K n (t), (112) where λ is the coupling constant in which the series expansion is performe. One may then use the efinition of Σ(t) an the series expansions of G(t, s) an G(t, s) to compute the K n. In many situations, the o terms of the series expansion vanish [1], an the leaing term given by the secon orer expansion is K 2 = leaing to the secon-orer TCL master equation P t ρ = In the interaction picture, it may be explicitely written as P t ρ = t t spl(t)l(s)p, (113) t t t spl(t)l(s)pρ. (114) t sp[h I (t), [H I (s), Pρ]]. (115) The secon-orer TCL master equation iffers from the Nakajima-Zwanzig equation only by the ensity operator in the integral epening on t instea of s. If the projection operator escribes a projection onto a prouct state between the system an a fixe state in the environment, it is ientical to the Refiel equation that we have alreay encountere earlier.

18 18 IV. DECAY INTO TWO BANDS We consier a two-level systems couple to an environment consisting of two istinct energy bans. The system is escribe by the Hamiltonian H = H S + H E + H I. (116) The system Hamiltonian H S is an orinary two-level system with an energy ifference of E,accoring to H S = E e e = Eσ + σ, (117) where we have set the energy of the groun state g to zero. For the energy bans of the environment, we assume a linear spectrum, i.e, H E = N 1 n 1 =1 δε N 1 n 1 n 1 n 1 + N 2 n 2 =1 ( E + δε ) n 2 n 2 n 2, (118) N 2 where N 1 an N 2 are the total number of states in each ban. The interaction Hamiltonian is given by H I = N 1 N 2 n 1 =1 n 2 =1 λ n1,n 2 σ + n 1 n 2 + H.c., (119) i.e., whenever the two-level system is e-excite, an excitation is create in the environment, an vice versa. The matrix elements λ n1,n2 are ranom Gaussianly istribute variables with a variance λ 2. In the following, we assume a separation of energy scales accoring to E δe λ. This moel has some very interesting properties. First of all, the size of the environment is clearly finite, meaning that excitations in the environment may not ecay fast enough an the Markov approximation may not be applicable. This is even further strengthene when taking into account that the interaction will lea to very strong correlations between system an environment. At the same time, the weak interaction naturally gives rise to a peturbative expansion. We procee by efining a correlate projection operator for the relevant part of the ynamics [5], accoring to Pρ = Tr {Π 1 ρ} 1 N 1 Π 1 + Tr {Π 2 ρ} 1 N 2 Π 2 = P e 1 N 1 Π 1 + P g 1 N 2 Π 2, (12)

19 19 where we have introucte the projectors Π 1 = Π 2 = N 1 n 1 =1 N 2 n 2 =1 1 n 1 n 1 (121) 1 n 2 n 2 (122) an P e an P g enote the probability to fin the two-level system in its excite or groun state, respectively. Because of conservation of probability, we have P g = 1 P e, meaning that the relevant part of the ynamics consists of a single variable! In the following, we will erive its equation of motion. The secon orer TCL master equation is given by P t ρ = t spl(t)l(s)pρ, (123) which in our case can be written as P 1 e Π 1 + (1 P N e ) 1 t Π 2 = 1 N 2 str {Π 1 L(t)L(s)Pρ} 1 N 1 Π 1 + Tr {Π 2 L(t)L(s)Pρ} 1 N 2 Π 2. (124) since the projection an the time erivative commute. Multiplying with Π 1 an taking the trace yiels t P e = = str {Π 1 L(t)L(s)Pρ} (125) t [ [ 1 str {Π 1 H I (t), H I (s), P e Π 1 + (1 P e ) 1 ]]} Π 2. (126) N 1 N 2 Expaning the commutator an making use of the relation Π i Π j = δ ij Π i results in t P e = { 1 str P e Π 1 H I (s)h I (t) (1 P e ) 1 } Π 1 H I (t)h I (s) + H.c.. (127) N 1 N 2 We can now introuce two relaxation rates γ 1,2 escribing the transition rates between the two bans. Specifically, we have γ i = 1 N i t s n1 n 1 H I (s)h I (t) + H.c n 1. (128)

20 2 As the interaction Hamiltonian couples oes not contain terms that leave the ban inex unchange, we may write the matrix elements as n 1 H I (s)h I (t) + H.c n 1 = n 2 n 1 H I (s) n 2 n 2 H I (t) n 1 + c.c.. (129) As we work in the interaction picture, we have n 1 H I (s) n 2 n 2 H I (t) n 1 = exp(iω 12 s) exp( iω 12 t) λ n1,n2 2, (13) where we have introuce the transitions frequencies ω 12 = δε(n 1 /N 1 n 2 /N 2 ). Using the statistical properties of the interaction Hamiltonian an performing the integration over s finally yiels [9] γ i = 2λ2 N i n1,n2 sin(ω 12 t) ω 12. (131) For the next step, we note that the sinc function appearing in the relaxation rates is a representation of the Dirac δ istribution, i.e., πδ t (ω 12 ) = lim t sin(ω 12 t) ω 12. (132) Then, at large enough times an small enough couplings [1], we may approximate the rates by γ 1 2πλ2 N 1 k,l δ(e n1 E n2 ) = 2πλ 2 N 2 δε (133) γ 2 2πλ 2 N 1 δε. (134) The equation of motion for the excite state probability then reas P e = (γ 2 + γ 1 )P e + γ 2. (135) Assuming the two-level system is initially in its excite state, the stationary state given by P s e = γ 2 /(γ 1 + γ 2 ) is approache in an exponential ecay accoring to P e (t) = P s e + γ 1 γ 1 + γ 2 exp[ 2(γ 1 + γ 2 )t]. (136) This solution is in excellent agreement with numerical simulations of the full Schringer equation [11]. It is important to stress that this efficient escription of such a complex system is only possible because our projection operator correctly captures the essential features of the

21 21 ynamics. If one choses a ifferent projection operator, say, one without correlations between system an environments, accoring to Pρ = Tr E {ρ} ρ E, (137) then the secon orer TCL master equation no longer correctly escribes the ynamics, as higher orers are ivergent [11]. [1] H.-P. Breuer an F. Petruccione, The Theory of Open Quantum Systems (Oxfor University Press, Oxfor, 22). [2] G. Linbla, Commun. Math. Phys. 48, 119 (1976). [3] C. Fleming, N. I. Cummings, C. Anastopoulos, an B. L. Hu, J. Phys. A 43, 4534 (21). [4] D. F. Walls an G. J. Milburn, Quantum Optics (Springer, Berlin, 1994). [5] H.-P. Breuer, Phys. Rev. A 75, 2213 (27). [6] S. Nakajima, Progr. Theo. Phys. 2, 948 (1958). [7] R. Zwanzig, J. Chem. Phys. 33, 1338 (196). [8] F. Shibata, Y. Takahashi, an N. Hashitsume, J. Stat. Phys. 17, 171 (1977). [9] H. Weimer, M. Michel, J. Gemmer, an G. Mahler, Phys. Rev. E 77, (28). [1] F. Schwabl, Quantum mechanics (Springer, Berlin, Germany, 21). [11] H.-P. Breuer, J. Gemmer, an M. Michel, Phys. Rev. E 73, (26).

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

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

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

Solution to the exam in TFY4230 STATISTICAL PHYSICS Wednesday december 1, 2010

Solution to the exam in TFY4230 STATISTICAL PHYSICS Wednesday december 1, 2010 NTNU Page of 6 Institutt for fysikk Fakultet for fysikk, informatikk og matematikk This solution consists of 6 pages. Solution to the exam in TFY423 STATISTICAL PHYSICS Wenesay ecember, 2 Problem. Particles

More information

Sturm-Liouville Theory

Sturm-Liouville Theory LECTURE 5 Sturm-Liouville Theory In the three preceing lectures I emonstrate the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series are just the tip of the iceberg of the theory

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

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

Conservation Laws. Chapter Conservation of Energy

Conservation Laws. Chapter Conservation of Energy 20 Chapter 3 Conservation Laws In orer to check the physical consistency of the above set of equations governing Maxwell-Lorentz electroynamics [(2.10) an (2.12) or (1.65) an (1.68)], we examine the action

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

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

4. Important theorems in quantum mechanics

4. Important theorems in quantum mechanics TFY4215 Kjemisk fysikk og kvantemekanikk - Tillegg 4 1 TILLEGG 4 4. Important theorems in quantum mechanics Before attacking three-imensional potentials in the next chapter, we shall in chapter 4 of this

More information

Quantum control of dissipative systems. 1 Density operators and mixed quantum states

Quantum control of dissipative systems. 1 Density operators and mixed quantum states Quantum control of dissipative systems S. G. Schirmer and A. I. Solomon Quantum Processes Group, The Open University Milton Keynes, MK7 6AA, United Kingdom S.G.Schirmer@open.ac.uk, A.I.Solomon@open.ac.uk

More information

Spin-Boson Model. A simple Open Quantum System. M. Miller F. Tschirsich. Quantum Mechanics on Macroscopic Scales Theory of Condensed Matter July 2012

Spin-Boson Model. A simple Open Quantum System. M. Miller F. Tschirsich. Quantum Mechanics on Macroscopic Scales Theory of Condensed Matter July 2012 Spin-Boson Model A simple Open Quantum System M. Miller F. Tschirsich Quantum Mechanics on Macroscopic Scales Theory of Condensed Matter July 2012 Outline 1 Bloch-Equations 2 Classical Dissipations 3 Spin-Boson

More information

Physics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1

Physics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1 Physics 5153 Classical Mechanics The Virial Theorem an The Poisson Bracket 1 Introuction In this lecture we will consier two applications of the Hamiltonian. The first, the Virial Theorem, applies to systems

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

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

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

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

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

Non-Markovian Dynamics of the Spin-Boson Model

Non-Markovian Dynamics of the Spin-Boson Model Non-Markovian Dynamics of the Spin-Boson Model Pro gradu -tutkielma Turun yliopisto Teoreettinen fysiikka 2009 LuK Elsi Laine Tarkastajat: Dos. Jyrki Piilo Prof. Kalle-Antti Suominen Contents Introduction...................................

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

1. At time t = 0, the wave function of a free particle moving in a one-dimension is given by, ψ(x,0) = N

1. At time t = 0, the wave function of a free particle moving in a one-dimension is given by, ψ(x,0) = N Physics 15 Solution Set Winter 018 1. At time t = 0, the wave function of a free particle moving in a one-imension is given by, ψ(x,0) = N where N an k 0 are real positive constants. + e k /k 0 e ikx k,

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

Quantum Mechanics in Three Dimensions

Quantum Mechanics in Three Dimensions Physics 342 Lecture 20 Quantum Mechanics in Three Dimensions Lecture 20 Physics 342 Quantum Mechanics I Monay, March 24th, 2008 We begin our spherical solutions with the simplest possible case zero potential.

More information

Separation of Variables

Separation of Variables Physics 342 Lecture 1 Separation of Variables Lecture 1 Physics 342 Quantum Mechanics I Monay, January 25th, 2010 There are three basic mathematical tools we nee, an then we can begin working on the physical

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

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

involve: 1. Treatment of a decaying particle. 2. Superposition of states with different masses.

involve: 1. Treatment of a decaying particle. 2. Superposition of states with different masses. Physics 195a Course Notes The K 0 : An Interesting Example of a Two-State System 021029 F. Porter 1 Introuction An example of a two-state system is consiere. involve: 1. Treatment of a ecaying particle.

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

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

Diagonalization of Matrices Dr. E. Jacobs

Diagonalization of Matrices Dr. E. Jacobs Diagonalization of Matrices Dr. E. Jacobs One of the very interesting lessons in this course is how certain algebraic techniques can be use to solve ifferential equations. The purpose of these notes is

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

The Ehrenfest Theorems

The Ehrenfest Theorems The Ehrenfest Theorems Robert Gilmore Classical Preliminaries A classical system with n egrees of freeom is escribe by n secon orer orinary ifferential equations on the configuration space (n inepenent

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

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

6, Quantum theory of Fluorescence

6, Quantum theory of Fluorescence 6, Quantum theory of Fluorescence 1 Quantum theory of Damping: Density operator 2 Quantum theory of Damping: Langevin equation 3 System-Reservoir Interaction 4 Resonance Fluorescence 5 Decoherence Ref:

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

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

Markov Chains in Continuous Time

Markov Chains in Continuous Time Chapter 23 Markov Chains in Continuous Time Previously we looke at Markov chains, where the transitions betweenstatesoccurreatspecifietime- steps. That it, we mae time (a continuous variable) avance in

More information

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations Lecture XII Abstract We introuce the Laplace equation in spherical coorinates an apply the metho of separation of variables to solve it. This will generate three linear orinary secon orer ifferential equations:

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION Long-istance coherent coupling in a quantum ot array Floris R. Braakman 1, Pierre Barthelemy 1, Christian Reichl, Werner Wegscheier, Lieven M.K. Vanersypen 1 1 Kavli Institute of Nanoscience, TU Delft,

More information

Euler equations for multiple integrals

Euler equations for multiple integrals Euler equations for multiple integrals January 22, 2013 Contents 1 Reminer of multivariable calculus 2 1.1 Vector ifferentiation......................... 2 1.2 Matrix ifferentiation........................

More information

Some vector algebra and the generalized chain rule Ross Bannister Data Assimilation Research Centre, University of Reading, UK Last updated 10/06/10

Some vector algebra and the generalized chain rule Ross Bannister Data Assimilation Research Centre, University of Reading, UK Last updated 10/06/10 Some vector algebra an the generalize chain rule Ross Bannister Data Assimilation Research Centre University of Reaing UK Last upate 10/06/10 1. Introuction an notation As we shall see in these notes the

More information

The quantum-to-classical transition and decoherence

The quantum-to-classical transition and decoherence The quantum-to-classical transition an ecoherence Maximilian Schlosshauer Department of Physics, University of Portlan, 5 North Willamette Boulevar, Portlan, Oregon 9723, USA I give a peagogical overview

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

Chapter 2: Interacting Rydberg atoms

Chapter 2: Interacting Rydberg atoms Chapter : Interacting Rydberg atoms I. DIPOLE-DIPOLE AND VAN DER WAALS INTERACTIONS In the previous chapter, we have seen that Rydberg atoms are very sensitive to external electric fields, with their polarizability

More information

The Press-Schechter mass function

The Press-Schechter mass function The Press-Schechter mass function To state the obvious: It is important to relate our theories to what we can observe. We have looke at linear perturbation theory, an we have consiere a simple moel for

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

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

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

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

Least-Squares Regression on Sparse Spaces

Least-Squares Regression on Sparse Spaces Least-Squares Regression on Sparse Spaces Yuri Grinberg, Mahi Milani Far, Joelle Pineau School of Computer Science McGill University Montreal, Canaa {ygrinb,mmilan1,jpineau}@cs.mcgill.ca 1 Introuction

More information

LeChatelier Dynamics

LeChatelier Dynamics LeChatelier Dynamics Robert Gilmore Physics Department, Drexel University, Philaelphia, Pennsylvania 1914, USA (Date: June 12, 28, Levine Birthay Party: To be submitte.) Dynamics of the relaxation of a

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

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

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

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

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

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

Witten s Proof of Morse Inequalities

Witten s Proof of Morse Inequalities Witten s Proof of Morse Inequalities by Igor Prokhorenkov Let M be a smooth, compact, oriente manifol with imension n. A Morse function is a smooth function f : M R such that all of its critical points

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

Light scattering and dissipative dynamics of many fermionic atoms in an optical lattice

Light scattering and dissipative dynamics of many fermionic atoms in an optical lattice Light scattering an issipative ynamics of many fermionic atoms in an optical lattice S. Sarkar, S. Langer, J. Schachenmayer,, an A. J. Daley, 3 Department of Physics an Astronomy, University of Pittsburgh,

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

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

8 Quantized Interaction of Light and Matter

8 Quantized Interaction of Light and Matter 8 Quantized Interaction of Light and Matter 8.1 Dressed States Before we start with a fully quantized description of matter and light we would like to discuss the evolution of a two-level atom interacting

More information

Designing Information Devices and Systems II Fall 2017 Note Theorem: Existence and Uniqueness of Solutions to Differential Equations

Designing Information Devices and Systems II Fall 2017 Note Theorem: Existence and Uniqueness of Solutions to Differential Equations EECS 6B Designing Information Devices an Systems II Fall 07 Note 3 Secon Orer Differential Equations Secon orer ifferential equations appear everywhere in the real worl. In this note, we will walk through

More information

Free rotation of a rigid body 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012

Free rotation of a rigid body 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012 Free rotation of a rigi boy 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012 1 Introuction In this section, we escribe the motion of a rigi boy that is free to rotate

More information

S.K. Saikin May 22, Lecture 13

S.K. Saikin May 22, Lecture 13 S.K. Saikin May, 007 13 Decoherence I Lecture 13 A physical qubit is never isolated from its environment completely. As a trivial example, as in the case of a solid state qubit implementation, the physical

More information

The Exact Form and General Integrating Factors

The Exact Form and General Integrating Factors 7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily

More information

Lecture 10 Notes, Electromagnetic Theory II Dr. Christopher S. Baird, faculty.uml.edu/cbaird University of Massachusetts Lowell

Lecture 10 Notes, Electromagnetic Theory II Dr. Christopher S. Baird, faculty.uml.edu/cbaird University of Massachusetts Lowell Lecture 10 Notes, Electromagnetic Theory II Dr. Christopher S. Bair, faculty.uml.eu/cbair University of Massachusetts Lowell 1. Pre-Einstein Relativity - Einstein i not invent the concept of relativity,

More information

u t v t v t c a u t b a v t u t v t b a

u t v t v t c a u t b a v t u t v t b a Nonlinear Dynamical Systems In orer to iscuss nonlinear ynamical systems, we must first consier linear ynamical systems. Linear ynamical systems are just systems of linear equations like we have been stuying

More information

Measure for the Non-Markovianity of Quantum Processes

Measure for the Non-Markovianity of Quantum Processes 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,

More information

The Three-dimensional Schödinger Equation

The Three-dimensional Schödinger Equation The Three-imensional Schöinger Equation R. L. Herman November 7, 016 Schröinger Equation in Spherical Coorinates We seek to solve the Schröinger equation with spherical symmetry using the metho of separation

More information

Supplementary Information for Experimental signature of programmable quantum annealing

Supplementary Information for Experimental signature of programmable quantum annealing Supplementary Information for Experimental signature of programmable quantum annealing Supplementary Figures 8 7 6 Ti/exp(step T =.5 Ti/step Temperature 5 4 3 2 1 0 0 100 200 300 400 500 Annealing step

More information

Can we derive Newton s F = ma from the SE?

Can we derive Newton s F = ma from the SE? 8.04 Quantum Physics Lecture XIII p = pˆ (13-1) ( ( ) ) = xψ Ψ (13-) ( ) = xψ Ψ (13-3) [ ] = x (ΨΨ ) Ψ Ψ (13-4) ( ) = xψ Ψ (13-5) = p, (13-6) where again we have use integration by parts an the fact that

More information

arxiv: v3 [quant-ph] 16 Feb 2016

arxiv: v3 [quant-ph] 16 Feb 2016 What is the probability of a thermoynamical transition? arxiv:504.00020v3 [quant-ph] 6 Feb 206 Álvaro M. Alhambra,, Jonathan Oppenheim,, 2, an Christopher Perry, Department of Physics an Astronomy, University

More information

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy,

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy, NOTES ON EULER-BOOLE SUMMATION JONATHAN M BORWEIN, NEIL J CALKIN, AND DANTE MANNA Abstract We stuy a connection between Euler-MacLaurin Summation an Boole Summation suggeste in an AMM note from 196, which

More information

1 Time-Dependent Two-State Systems: Rabi Oscillations

1 Time-Dependent Two-State Systems: Rabi Oscillations Advanced kinetics Solution 7 April, 16 1 Time-Dependent Two-State Systems: Rabi Oscillations a In order to show how Ĥintt affects a bound state system in first-order time-dependent perturbation theory

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

Math 1B, lecture 8: Integration by parts

Math 1B, lecture 8: Integration by parts Math B, lecture 8: Integration by parts Nathan Pflueger 23 September 2 Introuction Integration by parts, similarly to integration by substitution, reverses a well-known technique of ifferentiation an explores

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

SYNCHRONOUS SEQUENTIAL CIRCUITS

SYNCHRONOUS SEQUENTIAL CIRCUITS CHAPTER SYNCHRONOUS SEUENTIAL CIRCUITS Registers an counters, two very common synchronous sequential circuits, are introuce in this chapter. Register is a igital circuit for storing information. Contents

More information

v r 1 E β ; v r v r 2 , t t 2 , t t 1 , t 1 1 v 2 v (3) 2 ; v χ αβγδ r 3 dt 3 , t t 3 ) βγδ [ R 3 ] exp +i ω 3 [ ] τ 1 exp i k v [ ] χ αβγ , τ 1 dτ 3

v r 1 E β ; v r v r 2 , t t 2 , t t 1 , t 1 1 v 2 v (3) 2 ; v χ αβγδ r 3 dt 3 , t t 3 ) βγδ [ R 3 ] exp +i ω 3 [ ] τ 1 exp i k v [ ] χ αβγ , τ 1 dτ 3 ON CLASSICAL ELECTROMAGNETIC FIELDS PAGE 58 VII. NONLINEAR OPTICS -- CLASSICAL PICTURE: AN EXTENDED PHENOMENOLOGICAL MODEL OF POLARIZATION : As an introuction to the subject of nonlinear optical phenomena,

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

Physics 115C Homework 4

Physics 115C Homework 4 Physics 115C Homework 4 Problem 1 a In the Heisenberg picture, the ynamical equation is the Heisenberg equation of motion: for any operator Q H, we have Q H = 1 t i [Q H,H]+ Q H t where the partial erivative

More information

Fluctuation-Dissipation Theorem (FDT)

Fluctuation-Dissipation Theorem (FDT) Fluctuation-Dissipation Theorem (FDT) NGL July 6, 7 Abstract This is a short writeup with erivation of fluctuation-issipation theorem (FDT) in classical an quantum mechanics. 1 Classical mechanics We use

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

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

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

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

Solving the Schrödinger Equation for the 1 Electron Atom (Hydrogen-Like)

Solving the Schrödinger Equation for the 1 Electron Atom (Hydrogen-Like) Stockton Univeristy Chemistry Program, School of Natural Sciences an Mathematics 101 Vera King Farris Dr, Galloway, NJ CHEM 340: Physical Chemistry II Solving the Schröinger Equation for the 1 Electron

More information

Function Spaces. 1 Hilbert Spaces

Function Spaces. 1 Hilbert Spaces Function Spaces A function space is a set of functions F that has some structure. Often a nonparametric regression function or classifier is chosen to lie in some function space, where the assume structure

More information

Convective heat transfer

Convective heat transfer CHAPTER VIII Convective heat transfer The previous two chapters on issipative fluis were evote to flows ominate either by viscous effects (Chap. VI) or by convective motion (Chap. VII). In either case,

More information

LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION

LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION The Annals of Statistics 1997, Vol. 25, No. 6, 2313 2327 LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION By Eva Riccomagno, 1 Rainer Schwabe 2 an Henry P. Wynn 1 University of Warwick, Technische

More information

6.003 Homework #7 Solutions

6.003 Homework #7 Solutions 6.003 Homework #7 Solutions Problems. Secon-orer systems The impulse response of a secon-orer CT system has the form h(t) = e σt cos(ω t + φ)u(t) where the parameters σ, ω, an φ are relate to the parameters

More information

Linear First-Order Equations

Linear First-Order Equations 5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)

More information

4.4 Microscopic derivation of the Lindblad equation

4.4 Microscopic derivation of the Lindblad equation This is a really powerful result: any trace-preserving Liouvillian must have a zero eigenvalue. Its right eigenvector will be the steay-state of the equation, whereas the left eigenvector will be the ientity.

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

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we

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