Quantum Lattice Dynamics and Applications to Quantum Information and Computation 1
|
|
- Joanna Watts
- 5 years ago
- Views:
Transcription
1 1 ESI Vienna, July 21-31, 2008 Quantum Lattice Dynamics and Applications to Quantum Information and Computation 1 Bruno Nachtergaele (UC Davis) based on joint work with Eman Hamza, Spyridon Michalakis, Yoshiko Ogata, Hillel Raz, Benjamin Schlein, and Robert Sims 1 Based on work supported by the U.S. National Science Foundation under grants # DMS , DMS , and DMS , by the Austrian Science Fund (FWF) under Grant No. Y330, a Sofja Kovalevskaja Award of the Humboldt Foundation, and an ESI Junior Fellowship.
2 2 Lecture Plan 1. The basic setup. Lieb-Robinson bounds for the support of time-evolved observables: (i) lattice systems bounded interactions, (ii) (an)harmomic lattice systems. Some comments on applications. 2. The Exponential Clustering Theorem: spectral gap and correlation length of ground states. 3. Structure of gaped ground states. Area Law for the local entropy of a ground with a spectral gap (one dimension). 4. Local perturbations perturb locally: A Lieb-Schultz-Mattis Theorem. Topological phases. My good intentions: (i) I will explain the main ideas and arguments (avoiding the technical details), (ii) I will write lecture notes later.
3 3 Setup finite collection of quantum systems (spins, qudits, (an)harmonic oscillators, atoms, quantum dots,... ) labeled by x Λ. Each system has a Hilbert space H x. The Hilbert space describing the total system is H Λ = x Λ H x. Each system has a dynamics described by a s.a. Hamiltonian H x densely defined on H x. The algebra of observables of the composite system is A Λ = B(H x ) = B(H Λ ). x Λ If X Λ, we have A X A Λ, by identifying A A X with A 1l Λ\X A Λ.
4 4 Interactions We will primarily consider bounded interactions modeled by map Φ from the set of subsets of Λ to A Λ such that Φ(X ) A X, and Φ(X ) = Φ(X ), for all X Λ. The full Hamiltonian is H = H x + Φ(X ). x Λ X Λ E.g., Λ Z d, H x = C 2 ; the Heisenberg Hamiltonian: H = BSx 3 + J xy S x S y x Λ x y =1 The Heisenberg dynamics, {τ t } t R, defined by τ t (A) = e ith Ae ith, A A Λ. For systems of oscillators we will also consider the standard harmonic interaction, which is unbounded.
5 5 Ground states, excitations, dynamics H Λ : finite system, includes boundary conditions described by additional terms in the Hamiltonian. Ground state: eigenvector with eigenvalue E 0 = inf spec H Λ. Spectral gap above the ground state: if dim H Λ <, and H Λ has eigenvalues E 0 < E 1 < E 2 <..., we define γ = E 1 E 0 > 0. In general γ = sup{δ 0 spec H Λ (E 0, E 0 + δ) = } 0. With some care, this definition can also be applied in the thermodynamic limit.
6 6 Excitations: it is often useful to think of excitations as being generated from a ground state by the action of an observable (even in finite systems). ψ = AΩ, H Λ Ω = E 0 Ω Often one studies the dynamics of ψ, bypassing a full spectral analysis of the Hamiltonian: ψ t = τ t (A)Ω. In these lectures we will focus on model-independent properties, valid for general classes of Hamiltonians that share a few essential properties. But models are of course very important.
7 7 Models, types of ground states behavior (1) Standard Heisenberg model: H Λ = x Λ BS 3 x + x,y Λ, x y =1 J xy S x S y - Large B: spins align with the field, no correlations, γ c > 0. - B = 0, J xy = J < 0, ferromagnetically ordered g.s., γ C/L 2 for Λ = [1, L] d Z d. - B = 0, J xy = J > 0, Λ = [1, 2L] d Z d : unique g.s.. In the limit L, antiferromagnetically ordered g.s s, and γ C/L (proved for d 3, and if spin S 1, also for d = 2, Dyson-Lieb-Simon 1978, and others).
8 8 - B = 0, J xy = J > 0, Λ = Z: no long-range order. If spin is halfintegral, γ = 0, power law decay of correlations. If spin is integer, γ > 0, exponential decay of correlations (Haldane s Conjecture). Excitations: - islands of overturned spins aka droplets (Spitzer, Starr) - spin waves - domain walls (Contucci, Koma, Michoel, Spitzer)
9 9 (2) Fancy Heisenberg models: E.g., Λ Z 2, and H Λ = J 1 S x S y + J 2 S x S y x,y Λ, x y =1 x,y Λ, x y = 2 May have fancy ground states and fancy excitations. - Dimerized ground states: dimers in a pattern. - Resonating Valence Bond ground states: dimers without a fixed pattern. - Spin Liquid: fully disordered. - Topological Phases, e.g., the Toric Code model on a surface of genus g has 4 g ground states that are locally identical yet globally distinguishable by a topological index.
10 10 The support of observables and small commutators Recall that we can identify A A X with a unique A A Y, for all Y that contain X. The smallest set X such that A A X, is called the support of A, denoted by supp A. I.e., A A X iff supp A X. Even if interactions are between nearest neighbors only, for generic A A Λ, supp τ t (A) = Λ for all t 0, Therefore nothing can be described locally, but this contradicts common experience.
11 11 For X, Y Λ, s.t., X Y =, A A X, B A Y, AB BA = [A, B] = 0: observables with disjoint supports commute. Conversely, if A A Λ satisfies [A, B] = 0, for all B A Y (1) then Y supp A =. A more general statement is true: if the commutators in (1) are uniformly small, than A is close to A Λ\Y.
12 12 Lemma Let A A Λ, ɛ 0, and Y Λ be such that [A, B] ɛ B, for all B A Y (2) then there exists A A Λ\Y such that A 1l A cɛ with c = 1 if dim H Y <, and c = 2 in general. we can investigate supp τ t (A) by estimating [A, B] for B A Y. Lieb-Robinson bounds do that for [τ t (A), B].
13 13 Let d be a metric on Λ. Often, Λ is a graph and d is the graph distance: d(x, y) is the length of the shortest path from x to y over edges in the graph. For X, Y Λ, we define d(x, Y ) = min{d(x, y) x X, y Y }. The diameter, diam(x ), of a subset X Λ is diam(x ) = max{d(x, y) x, y X }.
14 14 Lieb-Robinson bound : C, v, a > 0 s.t. [ τ t (A), B ] C A B e a(d v t ) where t R, A A X, B A Y, for finite X, Y V, v t and d = d(x, Y ). The first such estimates x were proved by Lieb & Robinson (1972). X Y y d = d(x, Y )
15 15 Lieb-Robinson bounds, what do they mean? Lieb, E.H. and Robinson, D.W.: The Finite Group Velocity of Quantum Spin Systems, Commun. Math. Phys. 28, (1972). For a specific model, the connection with the group velocity was made mathematically explicit by Ch. Radin (1973), but this interpretation follows in general from the following observation. Up to small corrections, the diameter of the support of τ t (A) does not grow faster than linearly in t. More precisely, by the Lemma, one has the following result: There exist C > 0, such that for all δ > 0, there exists A δ t, supported in a ball of radius v t + δ such that A δ t τ t (A) C A e aδ.
16 16 Lieb-Robinson bounds, why are they useful? - Philosophically, they show that non-relativistic theories defined by local Hamiltonians, such as the ones used in condensed matter physics, have a dynamics that does not violate locality. They provide a finite bound for the velocity of propagation of anything in quantum lattice systems with local interactions. - They can be used for practical applications. M. Hastings (2004) was the first to realize this and since then Lieb-Robinson bounds have been used to prove several new results about the ground states of quantum lattice systems: Hastings, N-Sims, Hastings-Koma, Bravyi, Verstraete, Eisert, Osborne, and others. Quasi-locality of the dynamics + other conditions imply quasi-locality properties of ground states.
17 17 General Assumption on the Interactions: We will assume that there is a non-increasing function F : [0, ) (0, ), with the following properties: (i) F := sup x V y V F (d(x, y)) <, (ii) there is a constant C > 0 such that for pairs x, y V, F (d(x, z))f (d(z, y)) CF (d(x, y)) z V If V = Z ν, we can take F (r) = 1 (1+r) ν+ɛ, for any ɛ > 0. Suppose we have V with a function F as above, and some a 0, such that Φ a := sup x,y V e ad(x,y) F (d(x, y)) Φ(X ) < X x,y
18 18 Lieb-Robinson bounds (bounded interactions) Theorem (Lieb-Robinson 1972, Hastings 04, N-Sims 06, H-Koma 06, N-S-Ogata 06, Eisert-Osborne 06, N-S 2007) Assume Φ a < for some a > 0. For local observables A A X and B A Y, one has the bound [τ t (A), B] 2 A B F min( Φ X, Φ Y )e a(d(x,y ) 2a 1 Φ ac t ) C where Φ X is given by Φ X = {x X Z with x Z, Z X c, and Φ(Z) 0 }. This means that the Lieb-Robinson velocity, v, is bounded by a 1 2 Φ a C.
19 19 The improvements obtained by the authors listed in the theorem have mostly to do with the dependence of the prefactor on the dimensions of the local Hilbert spaces and the size of the supports. For interactions that decay only as a power law, a similar bound with power law decay can be derived in the same way. If one assumes X Y =, one can replace e a(d(x,y ) 2a 1 Φ ac t ) by e ad(x,y ) (e 2 Φ ac t ) 1), which vanishes for t = 0. In general, for interactions of finite range R, the commutator behaves as t k, for small t, with k d(x, Y )/R.
20 20 Lieb-Robinson bounds for Anharmonic Lattices Λ Z ν, H Λ = x Λ L2 (R), p x = i d dq x, and H Λ = x Λ p 2 x +ω 2 q 2 x +V (q x ) + x y =1 λ(q x q y ) 2 +Φ(q x q y ) We proved Lieb-Robinson bounds under the following conditions on V and Φ: (i) If λ = 0, it is sufficient that V is such that px 2 + ω 2 qx 2 + V (q x ) is self-adjoint, and Φ L (R). (ii) If λ > 0, V and Φ have to be C 1, L 1, and such that k V (k) L 1 (R).
21 21 Theorem (N-Raz-Schlein-Sims, 2008) Case (i): Assume λ = 0, V such that px 2 + ω 2 qx 2 + V (q x ) is self-adjoint, and Φ L (R). For local observables A A X and B A Y, we have bound [τ t (A), B] 2 A B min[ Φ X, Φ Y ]e (ad(x,y ) 2ν+2 Φ e a t ). (3) for all a > 0. Here Φ X is given by Φ X = {x X y Λ \ X, such that x y = 1}.
22 22 For f : Λ C, define the Weyl operator W (f ) by W (f ) = e i P x Λ (qx Refx +px Imfx ). Clearly, W (f ) is a unitary operator in A Λ. Theorem (N-Raz-Schlein-Sims, 2008) Case (ii): Let λ 0, and assume V is C 1, L 1, and such that k V (k) L 1 (R). Then, for all f, g with supp f X and supp g Y, we have [τ t (W (f )), W (g)] C f g min( X, Y )e for all a > 0, and where v = 6 ω 2 + 4νλ + 3C 4a k V (k) 1. a(d(x,y ) v t )
23 23 Sketch of the Proof (bounded interactions only) Consider the function f : R A defined by f (t) := [τ t (A), B]. (4) Differentiate to see that f satisfies the following diff. eqn f (t) = i [f (t), τ t (H X )] i [τ t (A), [τ t (H X ), B]], (5) with the notation H Y = Z Λ: Z Y Φ(Z), (6) for any subset Y V. The first term in (5) above is norm-preserving, and therefore we have [τ t (A), B] [A, B] + 2 A t 0 [τ s (H X ), B] ds (7)
24 24 Define the quantity then (7) implies that [τ t (A), B] C B (X, t) := sup, (8) A A X A C B (X, t) C B (X, 0) + 2 Z V : Z X Clearly, one has that Φ(Z) t 0 C B (Z, s)ds. (9) C B (Z, 0) 2 B δ Y (Z), (10) where δ Y (Z) = 0 if Z Y = and δ Y (Z) = 1 otherwise. Using this fact, iterate (9) and find that (2 t ) n C B (X, t) 2 B a n, (11) n! n=0
25 25 where the coefficients are given by a n = Z1 Λ: Z 2 Λ: Z 1 X Z 2 Z 1 Zn Λ: Z n Z n 1 n Φ(Z i ) δ Y (Z n ). i=1 Using the properties of the function F a and the norm Φ a one can estimate a n : a 1 x Φ X y Φ Y Z Λ: x,y Z Φ(Z) x X Φ a F a (d(x, y)). y Y where we defined F a (r) = e ar F (r). Note that if F satisfies (i) and (ii) then so thus F a (r), for all a 0, with F a F, and C a C.
26 26 Next, a 2 x Φ X y Φ Y z Λ Z 1 Λ: Φ a Φ 2 a Φ(Z 1 ) x,z Z 1 x Φ X y Φ Y Φ 2 a C a x Φ X y Φ Y z Λ x Φ X y Φ Y Φ(Z 2 ) Z 2 Λ: z,y Z 2 F a (d(z, y)) Φ(Z 1 ) z Λ Z 1 Λ: x,z Z 1 F a (d(x, z)) F a (d(z, y)) F a (d(x, y)), Similarly a n Φ n ac n 1 a x Φ X y Φ Y F a (d(x, y)), and this completes the proof.
27 27 Comments: The existence of local approximations for τ t (A), for local A, by observables whose support has a radius v t has many applications. In addition to a few we will discuss, there are others such as speeding up and analyzing practical numerical algorithms for calculating ground states, equilibrium states, form factors, of quantum lattice models. Open problems: prove Lieb-Robinson bound for more general unbounded Hamiltonians, e.g., the anharmonic lattice with a quartic potential.
28 28 Existence of the dynamics in the thermodynamic limit It is well-known that one can use the Lieb-Robinson bound to establish the existence of the dynamics for infinite lattice systems. Let Λ n be an increasing exhausting sequence of finite subsets of an infinite system, V, with interaction Φ. The essential observation is the following bound: for n > m τt Λn (A) τt Λm (A) x Λ n\λ m X x t 0 [Φ(X ), τt Λm (A)] ds.
29 29 Theorem Let a 0, and Φ such that Φ a <. Then, the dynamics {τ t } t R corresponding to Φ exists as a strongly continuous, one-parameter group of automorphisms on A. In particular, Λn lim τt (A) τ t (A) = 0 n for all A A = n A Λ n. The convergence is uniform for t in compact sets and independent of the choice of exhausting sequence {Λ n }.
30 30 The Exponential Clustering Theorem In a relativistic quantum field theory, the speed of light plays the role of an automatic bound for the Lieb-Robinson velocity. This implies decay of correlations in the vacuum of a QFT with a gap and a unique (Ruelle, others). Fredenhagen proved an exponential bound for the decay: e γc 1 x, i.e., ξ c/γ. In a QFT the gap γ is interpreted as the mass of the lightest particle. In condensed matter physics, a gap also implies exponential decay under general conditions (Hastings 2004, N-Sims 2006, Hastings-Koma 2006).
31 31 Theorem (N-Sims 2006, Hastings-Koma 2006) Case (i): bounded interactions with Φ a < for some a > 0. Suppose H has a spectral gap γ > 0 above a unique ground state. Then, there exists µ > 0 and a constant c = c(f, γ) such that for all A A X, B A Y, AB A B c A B min( Φ X, Φ Y )e µd(x,y ). One can take µ = aγ γ + 4 Φ a.
32 32 Theorem (N-Raz-Schlein-Sims, 08) Let H be the anharmonic lattice Hamiltonian with λ 0 satisfying the conditions of Case (ii), and suppose H has a unique ground state and a spectral gap γ > 0 above it. Denote by the expectation in the ground state. Then, for all functions f and g with finite supports X and Y in the lattice, we have the following estimate: W (f )W (g) W (f ) W (g) d(x,y )/ξ C f g min( X, Y )e where ξ = (4av + γ)/(aγ) and, if we assume d(x, Y ) ξ, C is a constant depending only on the dimension ν.
33 33 Idea of the proof Suppose H 0 with unique ground state Ω, HΩ = 0, with a gap γ > 0 above 0. Let A A X and B A Y, d(x, Y ) > 0, a, C, v > 0, such that [τ t (A), B] C A B e a(d(x,y ) v t ). We can assume Ω, AΩ = Ω, BΩ = 0. We want to show that there is a ξ <, independent of X, Y, A, B, s.t. Ω, ABΩ Ce d(x,y )/ξ.
34 34 For z C, Im z 0, define f (z) = Ω, Aτ z (B)Ω = γ e ize d A Ω, P E BΩ. For T > b > 0, and Γ T the upper semicircle of radius T centered at 0: f (ib) = 1 2πi Γ T f (z) z ib dz. Then 1 Ω.ABΩ lim sup b 0,T 2π Γ T f (t) t ib dz.
35 35 Next, introduce a Gaussian cut-off and remember f (t): 1 Ω, ABΩ lim sup b 0,T 2π T T e αt2 Ω, Aτ t(b)ω t ib dt /(4α) +Ce γ2 assuming γ > 2αb. For α(d(x, Y )/v) 2 1, the Lieb-Robinson bounds lets us commute τ t (B) with A in this estimate. Using the spectral representation of τ t, we get 1 T Ω, ABΩ lim sup dt e iet e αt2 b 0,T 2π t ib d B Ω, P E AΩ +err. The t integral can be uniformly bounded by e γ2 /(4α). Optimizing α gives the result. γ T
36 36 Structure of gaped ground states The Exponential Clustering Theorem says that a non-vanishing gap γ implies a finite correlation length ξ. Can one say more about the structure of the ground state? E.g., with the goal of devising better algorithms to compute ground states? Related: use Lieb-Robinson bounds to help compute dynamical properties (Eisert, Hastings, Osborne, Verstraete,... ). The AKLT model and the structure of Valence Bond states give a hint. L 1 HL AKLT = [ S x S x (S x S x+1 ) 2 ] = x=1 L 1 x=1 P (2) x,x+1 acting on (C 3 ) L. P (2) x,x+1 is the projection onto the spin 2 subspaces of two spin 1 s at x and x + 1. E 0 = 0.
37 37 Let φ C 2 C 2 be the singlet state: φ = 1 2 ( ). Ground states of the AKLT model: for α, β =,, define ψ L) αβ = (P(1) P (1) ) α φ φ β Then, HL AKLT ψ (L) α,β = 0, four mutually almost orthogonal ground states. One can show that ker H AKLT = span{ψ (L) αβ α, β =, } and that γ > 0, uniform in L. The thermodynamic limit has a unique ground state with exponential decay of correlations. To describe the special structure of this ground state, suppose we have orthogonalized ψ (L) αβ. The density matrix of the limiting ground state restricted to A [1,L] is then given by 4ρ [1,L] = P [1,L] = ψ (L) αβ ψ (L) αβ α,β
38 38 Then, for l 0, a 1, such that [a l, a + l + 1] [1, L], one can show P [a l,a+l+1] [P [1,a] P [a+1,l] ] P [1,L] Ce l/ξ (12) This property allows one to prove a uniform lower bound for the gap (Fannes-N-Werner 1992, Spitzer-Starr 2002). Idea: the AKLT model may be somewhat special but the states but the property (12) is general for gapped ground states. The existence of a large class VBS models supports this; also a density result (Fannes, N, Werner 1992). VBS models also exist in higher dimensions and their ground state are sometimes called PEPS (Verstraete).
39 39 The Area Law for the entanglement entropy VBS states satisfy an area bound on the entropy of their local restrictions. Let X Λ and ρ X A X is the density matrix describing the restriction of a VBS state to A X, then S(ρ X ) = Trρ x log ρ X C X Conjecture: area law holds for gapped ground states in general of arbitrary quantum spin systems with bounded spins and bounded finite-range interactions. Next: An approximation theorem similar to (12) with Area Law for chains as an application.
40 40 An approximation theorem for gapped ground states We will consider a system of the following type: Let Λ be a finite subset of Z d. At each x Λ, we have a finite-dimensional Hilbert space of dimension n x. Let H V = Φ(x, y), {x,y} Λ, x y =1 with Φ(x, y) J. Suppose H V has a unique ground state and denote by P 0 the corresponding projection, and let γ > 0 be the gap above the ground state energy. For a set A Λ, the boundary of A, denoted by A, is A = {x A there exists y Λ \ A, with x y = 1}. and for l 1 define B(l) = {x Λ d(x, A) < l}.
41 41 l A B Λ
42 42 The following generalizes a result by Hastings (2007): Theorem (Hamza-Michalakis-N-Sims, in prep.) There exists ξ > 0 (given explicitly in terms of d, J, and γ), such that for any sufficiently large m > 0, and any A Λ, there exist two orthogonal projections P A A A, and P Λ\A A Λ\A, and an operator P B A B(m) with P B 1, such that P B (P A P Λ\A ) P 0 C(ξ) A 2 e m/ξ where C(ξ) is an explicit polynomial in ξ.
43 43 Sketch of the proof (several ideas by Hastings & many estimates by Hamza and Sims) (1) The first step is the bring the Hamiltonian in a form similar to the Hamiltonian of the AKLT model. Assume E 0 = 0. We aim at a decomposition, for each sufficiently large l, H Λ = K A + K B(l) + K Λ\A, with the following properties: - supp K X X, for X = A, B(l), Λ \ A. - K X ψ 0 e cl, for each X and for some c > 0 (we only assumed H Λ ψ 0 = 0).
44 44 We start from where H Λ = H I + H B + H E, (13) I = I (l) = {x A for all y A, d(x, y) l} E = E(l) = {x V \ A for all y A, d(x, y) l}. The sets I (l) and E(l) are the interior and exterior of A. B(l) is boundary of thickness 2l: B(l) = {x Λ d(x, A) < l}. Note that Λ is the disjoint union of I, B, and E. Now define H I = X Λ: X I Φ(X ), H B = X Λ: X B Φ(X ), H E = X Λ: X E Φ(X ). For l > 1, there are no repeated terms and (13) holds.
45 45 H X ψ 0 is not necessarily small but we can arrange it so that each term has 0 expectation in ψ 0. The next step: for X {I, B, E} define (H X ) α = for α > 0. We still have α τ t (H X ) e αt2 dt, π H Λ = (H I ) α + (H B ) α + (H E ) α, We can show H X ψ 0 is small for α small, but the support is no longer X. The easiest way to correct this is by redefining them with a suitably restricted dynamics:
46 46 e.g., K (α) α A = e ith A H I e ith A e αt2 dt, π and similarly define K (α) Λ\A using H Λ\A, and K (α) B using H B(2l). A good choice for α is av 2 /(2l), where a and v are the constants appearing in the Lieb-Robinson bound. With this choice all errors are bounded by ɛ(l) C(d, a, v)j 2 A l d 1/2 e l/ξ with ξ = 2 max(a 1, av 2 /γ 2 )
47 47 To summarize: H Λ (K (α) A and for X = A, B, Λ \ A, + K (α) B K (α) X ψ 0 ɛ(l) + K (α) Λ\A ) ɛ(l)
48 48 (2) Now define the projections P A and P Λ\A as the spectral projections of K (α) A and K (α) Λ\A corresponding to the eigenvalues ɛ(l). This gives (1l P A )ψ 0 1 K (α) ψ 0 ɛ(l) ɛ(l) and similary for P Λ\A. Since the projections commute we have the identity 2(1l P A P Λ\A ) = (1l P A )(1l + P Λ\A ) + (1l P Λ\A )(1l + P A ), and we get P 0 P 0 P A P Λ\A ) = P 0 (1l P A P Λ\A ) 2 ɛ(l). A
49 49 (3) As the final step, we need to replace the P 0 multiplying P A P Λ\A by something supported in B(m) for a suitable m. We start from the observation that for a s.a. operator with a gap, such as H Λ, the ground state projection P 0 can be approximated by P α defined by P α = α e ith V e αt2 dt. π If the gap is γ, and with our choice of α, we have P α P 0 e γ2 /(4α) e l/ξ
50 50 We will modify this formula for P α in two ways: replace e ith Λ by e (α) (α) (α) it(k A +K B +K Λ\A ) (α) (α) it(k A +K e result with an operator supported in B(3l): Λ\A ), then approximate the P B = α e π P B = Tr HΛ\B(3l) PB (α) (α) (α) it(k A +K B +K Λ\A ) (α) (α) it(k A +K e Λ\A ) e αt2 dt Then, P 0 P A P Λ\A P B P A P Λ\A and P B P B can both be estimated to be small.
51 51 Area Law for Gapped 1-Dim l Systems Suppose d = 1, V = [1, L] Z and n x n, for all x [1, L]. For 1 a b L, let ρ [a,b] denote the density matrix of P 0 restricted to A [a,b]. Theorem (Hastings 07) There exist constants C and ξ < depending only on J and γ, such that S(ρ [a,b] ) Cξ log(ξ) log(n)2 ξ log(n) One can take ξ = 12v/γ.
52 52 The approximation theorem is not sufficient to prove the area law by itself, but it is an essential step. Here is how. Consider the (essentially unique) Schmidt decomposition of the pure state ψ 0 H A H Λ\A : r ψ 0 = σ α ψa α ψλ\a α, α=1 with o.n. vectors ψx α H X and σ α > 0. r is called the Schmidt rank of ψ 0. For any density matrix ρ, we have S(ρ) log(rankρ) If ρ A is the restriction of ψ 0, the rank of ρ A is given by the Schmidt rank of ψ 0 with respect to this decompostion. Therefore, we would like to show that the Schmidt rank is bounded by C A.
53 53 The rank of ρ A when P 0 is of the form P B (P A P Λ\A ) can be bounded in a similar way. First, suppose P A and P Λ\A are of rank 1, and P B = R E j A E j Λ\A j=1 for operators E j X A X. Then P 0 is of rank one, projecting on a vector of Schmidt rank R. Note that supp P B B implies R (dim H B A ) 2. By using the spectral decomposition for general P A and P Λ\A, we see that rankρ A R (dim H B A ) 2 rankp A rankp Λ\A.
54 54 For general models, one has to struggle with the fact that it is not clear how to bound rankp A and rankp Λ\A. In one dimension, Hastings succeeded in bypassing this difficulty in a circuitous way. For VBS models, in any dimension, rankp A and rankp Λ\A are easily seen to be bounded by c A. So all VBS models satisfy an area law (even without a gap, as long as they satisfy a non-degeneracy condition). For the AKLT model we obviously have rankp [a,b] 4.
55 55 Lieb-Schultz-Mattis Theorem The Lieb-Schultz-Mattis (LSM) theorem is a classic result (Annals of Physics, 1961) about the spin-1/2 Heisenberg antiferromagnetic chain. It was generalized to other 1D models by Affleck and Lieb (Lett. Math. Phys., 1985). A standard example where the LSM theorem applies is the half-integer spin antiferromagnetic Heisenberg chain: V = [1, L]: L 1 H L = S x S x+1 x=1 It also applies to the XXZ chain in the disordered regime.
56 56 The LSM Theorem states that if the ground state of H L is unique, then the gap to the first exited state is bounded by C/L. A result of Lieb and Mattis (1966), shows that for the particular model H L with L even, this is indeed the case. The generalization by Affleck and Lieb in 1985 includes chains with spins of arbitrary half-integer magnitude. I will discuss the proof of a higher-dimensional version of this result tas given by N-Sims (CMP 2007), which closely follows Hastings (PRB 2004).
57 57 Setup For simplicity, we will only consider systems defined on subsets V Z d, d 1 of the following form: V = [1, L] V L Zd, with V L Zd 1, such that V L CLd 1. We will assume periodic boundary conditions in the first coordinate. The spin systems on each copy of VL same. V L are the can have a mixture of spins of different magnitudes, s x, but we have to assume that the total spin in each copy of V is a half-integer: x VL some nonnegative integer k. s x = k + 1/2, for
58 58 V L V L V L V L x 1 = 1 x 1 = m x 1 = L
59 59 The new LSM Theorem The result holds for a large class of models H V. For this talk it suffices to focus on the simplest examples. E.g., the theorem applies is the half-integer spin antiferromagnetic Heisenberg Hamiltonian on V, with odd VL, and translation invariance in the first coordinate. Theorem (Hastings PRB 2004, N-Sims CMP 2007) If the ground state of H V is non-degenerate, then the gap above it, γ L, satisfies for some constant C and all L. γ L C log L L
60 60 The interactions should be finite-range and real, but are not limited to pair interactions. Only rotation invariance about one axis is used, but the ground state has to be non-degenerate. The spins can have a mixture of magnitudes as long as they are uniformly bounded and the total spin in each copy of V L is half-integral. The lattice structure of V L is not used except for the translation invariance in the horizontal direction.
61 61 Structure of the proof If ψ 0 is the normalized unique ground states, the variational principle gives, for any normalized ψ 1 such that ψ 0, ψ 1 1, the bound 0 < γ ψ 1, (H E 0 )ψ 1 1 ψ 0, ψ 1 2 So, there are three steps to obtain such a bound: (1) construction of the trial state ψ 1 (2) estimate of its energy (3) estimate of its inner product with the ground state. The upper bounds provided by these estimates contain γ L in such a way the assumption that γ L > C(log L)/L, with sufficiently large C, leads to a contradiction.
62 62 The proof is complicated by the fact that the ground state is unknown, but interesting because it required new (mathematical) understanding of the general properties of quantum spin dynamics and ground state correlations. Conceptually, the variational state is the ground state of a modified Hamiltonian, H θ, in which the interactions in one hyperplane have been twisted by an angle θ. The idea of Hastings (2004) was to describe this state as the solution of a differential equation in the variable θ with the original ground state as initial condition. Lieb-Robinson bounds and the Exponential Clustering Theorem play a crucial role in estimating the energy of the variational state and proving its orthogonality to the ground state.
63 63 1: Construction of the trial state Twisted interactions: let (x, y) be a horizontal bond in V : x = (m, v), y = (m + 1, v), for some m [1, L], and v V L. Then, for θ R we define the twisted Heisenberg interaction at (x, y) by h xy (θ) = S x e iθs3 y Sy e iθs3 y Twisted Heisenberg Hamiltonian on V L = [1, L] VL : H θ,θ = h xy (θ xy ) x y =1 where θ if x = (m, v), y = (m + 1, v) for some v VL θ xy = θ if x = (m + L/2, v), y = (m L/2, v) for v VL 0 else
64 64 V L V L V L θ θ L/2 x 1 = 1 m m + 1 x 1 = L
65 65 The three lowest energies of H(θ, 0), as a function of θ, behave differently depending on whether the spins are half-integer (left), or integer (right): 2.9 Spin 1/2 10 Spin Smallest three eigenvalues Smallest three eigenvalues pi/2 pi 3pi/2 2pi Twist angle pi/2 pi 3pi/2 2pi Twist angle
66 66 Hastings idea (PRB 2004): in the half-integer spin case we can obtain the first excited state by applying a quasi-adiabatic evolution to the ground state, where θ is the evolution parameter. It is easy to see that H θ, θ is unitarily equivalent to H = H 0,0. In particular, for the ground state energy E 0 (θ, θ ) we have θ E 0 (θ, θ) = 0. By using this in the derivative of the eigenvalue equation H θ, θ ψ 0 (θ, θ) = E 0 ψ 0 (θ, θ), one obtains 1 ψ 0 (θ) = [ θ H θ, θ ]ψ 0 (θ). H θ, θ E 0
67 67 This can formally be written using the Heisenberg dynamics τ t (A) = e ith Ae ith, for any observable A, as follows: ψ 0 (θ) = 0 τ it ( θ H θ, θ )ψ 0 (θ) dt To make things well-defined we introduce parameters a, T > 0 and define where B a,t (A, H) = T 0 A a (it, H) = 1 2πi dt[a a (it, H) A a (it, H) ] + ds e as2 s it τ s(a)
68 68 Note that θ H θ, θ contains terms localized at bonds (x, y) of the form x = (m, v), y = (m + 1, v) and x = (m + L/2, v), y = (m L/2, v), for some v VL. We denote these two types of terms grouped together by 1 H and 2 H. Then, B a,t ( θ H θ, θ, H) = B a,t ( 1 H, H) B a,t ( 2 H, H) Hastings insight: we can use this equation for ψ 0 (θ, θ) with B a,t ( θ H θ, θ, H) replaced by B a,t ( 1 H, H), and suitably chosen parameters a and T, to obtain an equation for an approximation of ψ 0 (θ, 0).
69 69 Hastings Equation for the variational state is then: θ ψ a,t (θ) = B a,t (θ)ψ a,t (θ), with B a,t (θ) = B a,t ( 1 H, H θ, θ ) and initial condition ψ a,t (0) = ψ 0 (0, 0) Then, ψ 1 = ψ a,t (2π), with a = γ L /L, and T = L/2, is the variational state we will use. Remarks: 1) this is equation is norm preserving. 2) It is easy to derive on O(1) a priori upper bound for γ L.
70 70 Locality property of the trial state Let Λ m,l V L be the subvolume of the form [m + 2 L/4, m 2 + L/4] VL. This is slightly less than half of the system. Let ρ a,t (θ) and ρ 0 (θ, θ) be the density matrices corresponding to the states ψ a,t (θ) and ψ 0 (θ, θ). Theorem Suppose there exists a constant c > 0 such that Lγ L c and choose a = γ L /L and T = L/2. Then, there exists constants C > 0 and k > 0 such that sup Tr VL \Λ m,l [ρ a,t (θ) ρ 0 (θ, θ)] 1 CL 2d e klγ L. θ [0,2π]
71 71 This theorem states that dropping one of the terms in the B operator in Hastings Equation does not change much the effect of the other term in its own half of the system. The proof of this theorem combines to important facts: (i) ψ a,t (θ) X (θ)ψ 0 (0, 0), for some X (θ) A Λm,L, i.e., an operator localized in Λ m,l. (ii) The spatial correlations in ψ 0 (0, 0) decay exponentially fast with a rate γ L. These two facts are provided by the Lieb-Robinson bound and the Exponential Clustering Theorem, respectively.
72 72 2: Energy Estimate The main idea here is to use the locality property of the trial state and the unitary equivalence of the Hamiltonians H θ, θ to obtain a uniform estimate of the derivative of the function E(θ) = ψ a,t (θ), H θ,0 ψ a,t. Since E(0) = E 0 and E(2π) is the energy of the trial state ψ 1 = ψ a,t (2π), this provides a bound for the difference. Explicitly, we can prove the following result. Theorem Suppose there exists a constant c > 0 such that Lγ L c and choose a = γ L /L and T = L/2. Then, there exists constants C > 0 and k > 0 such that ψ 1, H L ψ 1 E 0 CL 3d 1 e klγ L.
73 73 3: Orthogonality Estimate By construction, the quasi-adiabatic dynamics is norm preserving. So, ψ 1 = ψ 0 = 1. To prove that ψ 1 is sufficiently orthogonal to ψ 0 we need to use that the total spin in each transversal system V L is half-integral. Theorem Suppose there exists a constant c > 0 such that Lγ L c and choose a = γ L /L and T = L/2. Then, there exists constants C > 0 and k > 0 such that ψ a,t (2π), ψ 0 CL 2d e klγ L.
74 74 This result is proved by using the invariance of ψ 0 (θ, θ) under twisted translations. Let T be a unitary implementing the translation symmetry in the horizontal direction (in which we have periodic boundary conditions), chosen such that T ψ 0 = ψ 0. This is possible since ψ 0 is the unique ground state and T HT = 0. Define T θ,θ = TU m (θ)u m+l/2 (θ ) where U n (θ) applies the rotation e iθs3 x x = (n, v), for some v V L. to all sites for the form
75 75 Then, it is easy to see that H θ, θ = W H(0, 0)W, with W = U n (θ) m<n m+l/2 and that W TW = T θ, θ commutes with H θ, θ. Therefore T θ, θ ψ 0 (θ, θ) = ψ 0 (θ, θ).
76 76 The idea is again to use the locality properties to study the solution of Hastings Equation. We can show T θ,0 ψ a,t (θ) = ψ a,t (θ). Note that, due to the half-integral total spin in each VL, U m (2π) = 1l. Therefore T 2π,0 = T and therefore T ψ 1 = ψ1. Since T ψ 0 = ψ 0, this implies that ψ 1 is (nearly) orthogonal to ψ 0.
77 77 Concluding remarks Studying specific models is important but thinking about general mechanisms is useful too. The fun is not over yet! There are enough open problems for everyone: - area law in d > 1 - Haldane s conjecture - general stability of gapped ground states - lower bounds for small gaps; nature of the excitations - long-time dynamics? - topological phases, what do they really look like? - provable convergence of numerical algorithms
78 78 Some References 1. O. Bratteli and D.W. Robinson D.W., Operator Algebras and Quantum Statistical Mechanics. Volume 2., Second Edition. Springer-Verlag, E. Lieb, T. Schultz, and D. Mattis, Two soluble models of an antiferromagnetic chain, Ann. Phys. (N.Y.) 16, (1961) 3. E.H. Lieb and D.W. Robinson, The finite group velocity of quantum spin systems, Comm. Math. Phys. 28, (1972) 4. M.B. Hastings, Lieb-Schultz-Mattis in higher dimensions, Phys. Rev. B 69, (2004) 5. B. Nachtergaele and R. Sims: Lieb-Robinson Bounds and the Exponential Clustering Theorem. Comm. Math. Phys. 265, (2006) 6. M.B. Hastings and T. Koma, Spectral gap and exponential decay of correlations, Commun. Math. Phys. 265, (2006) 7. B. Nachtergaele, Y. Ogata, and R. Sims: Propagation of Correlations in Quantum Lattice Systems. J. Stat. Phys. 124, no. 1, 1 13 (2006) 8. B. Nachtergaele and R. Sims: A multi-dimensional Lieb-Schultz-Mattis theorem. Comm. Math. Phys. 276, (2007), 9. B. Nachtergaele, H. Raz, B. Schlein, and R. Sims, Lieb-Robinson Bounds for Harmonic and Anharmonic Lattice Systems, Commun. Math. Phys., to appear, arxiv.org: B. Nachtergaele, and R. Sims: Locality Estimates for Quantum Spin Systems, in V. Sidovaricius (Ed), Proceedings of ICMP XV, Rio de Janeiro 2006, to appear, arxiv: E. Hamza, S. Michalakis, B. Nachtergaele, and R. Sims, in preparation.
Propagation bounds for quantum dynamics and applications 1
1 Quantum Systems, Chennai, August 14-18, 2010 Propagation bounds for quantum dynamics and applications 1 Bruno Nachtergaele (UC Davis) based on joint work with Eman Hamza, Spyridon Michalakis, Yoshiko
More informationFrustration-free Ground States of Quantum Spin Systems 1
1 Davis, January 19, 2011 Frustration-free Ground States of Quantum Spin Systems 1 Bruno Nachtergaele (UC Davis) based on joint work with Sven Bachmann, Spyridon Michalakis, Robert Sims, and Reinhard Werner
More informationFrustration-free Ground States of Quantum Spin Systems 1
1 FRG2011, Harvard, May 19, 2011 Frustration-free Ground States of Quantum Spin Systems 1 Bruno Nachtergaele (UC Davis) based on joint work with Sven Bachmann, Spyridon Michalakis, Robert Sims, and Reinhard
More informationAutomorphic Equivalence Within Gapped Phases
1 Harvard University May 18, 2011 Automorphic Equivalence Within Gapped Phases Robert Sims University of Arizona based on joint work with Sven Bachmann, Spyridon Michalakis, and Bruno Nachtergaele 2 Outline:
More informationIntroduction to Quantum Spin Systems
1 Introduction to Quantum Spin Systems Lecture 2 Sven Bachmann (standing in for Bruno Nachtergaele) Mathematics, UC Davis MAT290-25, CRN 30216, Winter 2011, 01/10/11 2 Basic Setup For concreteness, consider
More informationQuantum Phase Transitions
1 Davis, September 19, 2011 Quantum Phase Transitions A VIGRE 1 Research Focus Group, Fall 2011 Spring 2012 Bruno Nachtergaele See the RFG webpage for more information: http://wwwmathucdavisedu/~bxn/rfg_quantum_
More informationFRG Workshop in Cambridge MA, May
FRG Workshop in Cambridge MA, May 18-19 2011 Programme Wednesday May 18 09:00 09:10 (welcoming) 09:10 09:50 Bachmann 09:55 10:35 Sims 10:55 11:35 Borovyk 11:40 12:20 Bravyi 14:10 14:50 Datta 14:55 15:35
More informationA classification of gapped Hamiltonians in d = 1
A classification of gapped Hamiltonians in d = 1 Sven Bachmann Mathematisches Institut Ludwig-Maximilians-Universität München Joint work with Yoshiko Ogata NSF-CBMS school on quantum spin systems Sven
More informationIntroduction to the Mathematics of the XY -Spin Chain
Introduction to the Mathematics of the XY -Spin Chain Günter Stolz June 9, 2014 Abstract In the following we present an introduction to the mathematical theory of the XY spin chain. The importance of this
More informationThe Quantum Hall Conductance: A rigorous proof of quantization
Motivation The Quantum Hall Conductance: A rigorous proof of quantization Spyridon Michalakis Joint work with M. Hastings - Microsoft Research Station Q August 17th, 2010 Spyridon Michalakis (T-4/CNLS
More informationThe AKLT Model. Lecture 5. Amanda Young. Mathematics, UC Davis. MAT290-25, CRN 30216, Winter 2011, 01/31/11
1 The AKLT Model Lecture 5 Amanda Young Mathematics, UC Davis MAT290-25, CRN 30216, Winter 2011, 01/31/11 This talk will follow pg. 26-29 of Lieb-Robinson Bounds in Quantum Many-Body Physics by B. Nachtergaele
More information3 Symmetry Protected Topological Phase
Physics 3b Lecture 16 Caltech, 05/30/18 3 Symmetry Protected Topological Phase 3.1 Breakdown of noninteracting SPT phases with interaction Building on our previous discussion of the Majorana chain and
More informationFerromagnetic Ordering of Energy Levels for XXZ Spin Chains
Ferromagnetic Ordering of Energy Levels for XXZ Spin Chains Bruno Nachtergaele and Wolfgang L. Spitzer Department of Mathematics University of California, Davis Davis, CA 95616-8633, USA bxn@math.ucdavis.edu
More informationEntanglement spectrum and Matrix Product States
Entanglement spectrum and Matrix Product States Frank Verstraete J. Haegeman, D. Draxler, B. Pirvu, V. Stojevic, V. Zauner, I. Pizorn I. Cirac (MPQ), T. Osborne (Hannover), N. Schuch (Aachen) Outline Valence
More information4 Matrix product states
Physics 3b Lecture 5 Caltech, 05//7 4 Matrix product states Matrix product state (MPS) is a highly useful tool in the study of interacting quantum systems in one dimension, both analytically and numerically.
More informationQuantum Many Body Systems and Tensor Networks
Quantum Many Body Systems and Tensor Networks Aditya Jain International Institute of Information Technology, Hyderabad aditya.jain@research.iiit.ac.in July 30, 2015 Aditya Jain (IIIT-H) Quantum Hamiltonian
More information08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms
(February 24, 2017) 08a. Operators on Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2016-17/08a-ops
More informationLattice spin models: Crash course
Chapter 1 Lattice spin models: Crash course 1.1 Basic setup Here we will discuss the basic setup of the models to which we will direct our attention throughout this course. The basic ingredients are as
More informationChiral Haldane-SPT phases of SU(N) quantum spin chains in the adjoint representation
Chiral Haldane-SPT phases of SU(N) quantum spin chains in the adjoint representation Thomas Quella University of Cologne Presentation given on 18 Feb 2016 at the Benasque Workshop Entanglement in Strongly
More informationEntanglement in Valence-Bond-Solid States on Symmetric Graphs
Entanglement in Valence-Bond-Solid States on Symmetric Graphs Shu Tanaka A, Hosho Katsura B, Naoki Kawashima C Anatol N. Kirillov D, and Vladimir E. Korepin E A. Kinki University B. Gakushuin University
More informationStability of local observables
Stability of local observables in closed and open quantum systems Angelo Lucia anlucia@ucm.es Universidad Complutense de Madrid NSF/CBMS Conference Quantum Spin Systems UAB, June 20, 2014 A. Lucia (UCM)
More informationarxiv: v1 [math-ph] 24 Nov 2009
Quantization of Hall Conductance For Interacting Electrons Without Averaging Assumptions Matthew B. Hastings Microsoft Research Station Q, CNSI Building, University of California, Santa Barbara, CA, 9316,
More information1 Math 241A-B Homework Problem List for F2015 and W2016
1 Math 241A-B Homework Problem List for F2015 W2016 1.1 Homework 1. Due Wednesday, October 7, 2015 Notation 1.1 Let U be any set, g be a positive function on U, Y be a normed space. For any f : U Y let
More informationLecture Notes 1: Vector spaces
Optimization-based data analysis Fall 2017 Lecture Notes 1: Vector spaces In this chapter we review certain basic concepts of linear algebra, highlighting their application to signal processing. 1 Vector
More informationSPECTRAL THEOREM FOR COMPACT SELF-ADJOINT OPERATORS
SPECTRAL THEOREM FOR COMPACT SELF-ADJOINT OPERATORS G. RAMESH Contents Introduction 1 1. Bounded Operators 1 1.3. Examples 3 2. Compact Operators 5 2.1. Properties 6 3. The Spectral Theorem 9 3.3. Self-adjoint
More informationThe following definition is fundamental.
1. Some Basics from Linear Algebra With these notes, I will try and clarify certain topics that I only quickly mention in class. First and foremost, I will assume that you are familiar with many basic
More informationCHAPTER VIII HILBERT SPACES
CHAPTER VIII HILBERT SPACES DEFINITION Let X and Y be two complex vector spaces. A map T : X Y is called a conjugate-linear transformation if it is a reallinear transformation from X into Y, and if T (λx)
More information1 Mathematical preliminaries
1 Mathematical preliminaries The mathematical language of quantum mechanics is that of vector spaces and linear algebra. In this preliminary section, we will collect the various definitions and mathematical
More informationMP463 QUANTUM MECHANICS
MP463 QUANTUM MECHANICS Introduction Quantum theory of angular momentum Quantum theory of a particle in a central potential - Hydrogen atom - Three-dimensional isotropic harmonic oscillator (a model of
More informationP3317 HW from Lecture and Recitation 10
P3317 HW from Lecture 18+19 and Recitation 10 Due Nov 6, 2018 Problem 1. Equipartition Note: This is a problem from classical statistical mechanics. We will need the answer for the next few problems, and
More informationhere, this space is in fact infinite-dimensional, so t σ ess. Exercise Let T B(H) be a self-adjoint operator on an infinitedimensional
15. Perturbations by compact operators In this chapter, we study the stability (or lack thereof) of various spectral properties under small perturbations. Here s the type of situation we have in mind:
More informationTensor network simulations of strongly correlated quantum systems
CENTRE FOR QUANTUM TECHNOLOGIES NATIONAL UNIVERSITY OF SINGAPORE AND CLARENDON LABORATORY UNIVERSITY OF OXFORD Tensor network simulations of strongly correlated quantum systems Stephen Clark LXXT[[[GSQPEFS\EGYOEGXMZMXMIWUYERXYQGSYVWI
More informationΨ ν ), if ν is ω-normal, Ψω Ψ ν
Entropy production VOJKAN JAŠIĆ 1, CLAUDE-ALAIN PILLET 2 1 Department of Mathematics and Statistics McGill University 85 Sherbrooke Street West Montreal, QC, H3A 2K6, Canada jaksic@math.mcgill.ca 2 CPT-CNRS,
More informationResearch Statement. Dr. Anna Vershynina. August 2017
annavershynina@gmail.com August 2017 My research interests lie in functional analysis and mathematical quantum physics. In particular, quantum spin systems, open quantum systems and quantum information
More informationQuantum Information and Quantum Many-body Systems
Quantum Information and Quantum Many-body Systems Lecture 1 Norbert Schuch California Institute of Technology Institute for Quantum Information Quantum Information and Quantum Many-Body Systems Aim: Understand
More informationPhysics 202 Laboratory 5. Linear Algebra 1. Laboratory 5. Physics 202 Laboratory
Physics 202 Laboratory 5 Linear Algebra Laboratory 5 Physics 202 Laboratory We close our whirlwind tour of numerical methods by advertising some elements of (numerical) linear algebra. There are three
More informationSpectral Measures, the Spectral Theorem, and Ergodic Theory
Spectral Measures, the Spectral Theorem, and Ergodic Theory Sam Ziegler The spectral theorem for unitary operators The presentation given here largely follows [4]. will refer to the unit circle throughout.
More informationINVARIANT SUBSPACES FOR CERTAIN FINITE-RANK PERTURBATIONS OF DIAGONAL OPERATORS. Quanlei Fang and Jingbo Xia
INVARIANT SUBSPACES FOR CERTAIN FINITE-RANK PERTURBATIONS OF DIAGONAL OPERATORS Quanlei Fang and Jingbo Xia Abstract. Suppose that {e k } is an orthonormal basis for a separable, infinite-dimensional Hilbert
More informationPage 404. Lecture 22: Simple Harmonic Oscillator: Energy Basis Date Given: 2008/11/19 Date Revised: 2008/11/19
Page 404 Lecture : Simple Harmonic Oscillator: Energy Basis Date Given: 008/11/19 Date Revised: 008/11/19 Coordinate Basis Section 6. The One-Dimensional Simple Harmonic Oscillator: Coordinate Basis Page
More informationMATH 205C: STATIONARY PHASE LEMMA
MATH 205C: STATIONARY PHASE LEMMA For ω, consider an integral of the form I(ω) = e iωf(x) u(x) dx, where u Cc (R n ) complex valued, with support in a compact set K, and f C (R n ) real valued. Thus, I(ω)
More information5 Compact linear operators
5 Compact linear operators One of the most important results of Linear Algebra is that for every selfadjoint linear map A on a finite-dimensional space, there exists a basis consisting of eigenvectors.
More informationRepresentation theory and quantum mechanics tutorial Spin and the hydrogen atom
Representation theory and quantum mechanics tutorial Spin and the hydrogen atom Justin Campbell August 3, 2017 1 Representations of SU 2 and SO 3 (R) 1.1 The following observation is long overdue. Proposition
More informationSPECTRAL THEOREM FOR SYMMETRIC OPERATORS WITH COMPACT RESOLVENT
SPECTRAL THEOREM FOR SYMMETRIC OPERATORS WITH COMPACT RESOLVENT Abstract. These are the letcure notes prepared for the workshop on Functional Analysis and Operator Algebras to be held at NIT-Karnataka,
More informationEfficient time evolution of one-dimensional quantum systems
Efficient time evolution of one-dimensional quantum systems Frank Pollmann Max-Planck-Institut für komplexer Systeme, Dresden, Germany Sep. 5, 2012 Hsinchu Problems we will address... Finding ground states
More informationSpectral Continuity Properties of Graph Laplacians
Spectral Continuity Properties of Graph Laplacians David Jekel May 24, 2017 Overview Spectral invariants of the graph Laplacian depend continuously on the graph. We consider triples (G, x, T ), where G
More informationPhysics 221A Fall 1996 Notes 16 Bloch s Theorem and Band Structure in One Dimension
Physics 221A Fall 1996 Notes 16 Bloch s Theorem and Band Structure in One Dimension In these notes we examine Bloch s theorem and band structure in problems with periodic potentials, as a part of our survey
More informationarxiv:quant-ph/ v2 24 Dec 2003
Quantum Entanglement in Heisenberg Antiferromagnets V. Subrahmanyam Department of Physics, Indian Institute of Technology, Kanpur, India. arxiv:quant-ph/0309004 v2 24 Dec 2003 Entanglement sharing among
More informationSYMPLECTIC GEOMETRY: LECTURE 5
SYMPLECTIC GEOMETRY: LECTURE 5 LIAT KESSLER Let (M, ω) be a connected compact symplectic manifold, T a torus, T M M a Hamiltonian action of T on M, and Φ: M t the assoaciated moment map. Theorem 0.1 (The
More information1 Unitary representations of the Virasoro algebra
Week 5 Reading material from the books Polchinski, Chapter 2, 15 Becker, Becker, Schwartz, Chapter 3 Ginspargs lectures, Chapters 3, 4 1 Unitary representations of the Virasoro algebra Now that we have
More informationTOEPLITZ OPERATORS. Toeplitz studied infinite matrices with NW-SE diagonals constant. f e C :
TOEPLITZ OPERATORS EFTON PARK 1. Introduction to Toeplitz Operators Otto Toeplitz lived from 1881-1940 in Goettingen, and it was pretty rough there, so he eventually went to Palestine and eventually contracted
More informationQuantum Entanglement in Exactly Solvable Models
Quantum Entanglement in Exactly Solvable Models Hosho Katsura Department of Applied Physics, University of Tokyo Collaborators: Takaaki Hirano (U. Tokyo Sony), Yasuyuki Hatsuda (U. Tokyo) Prof. Yasuhiro
More informationDensity Matrices. Chapter Introduction
Chapter 15 Density Matrices 15.1 Introduction Density matrices are employed in quantum mechanics to give a partial description of a quantum system, one from which certain details have been omitted. For
More informationClassical and quantum simulation of dissipative quantum many-body systems
0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 0 20 32 Classical and quantum simulation of dissipative quantum many-body systems
More informationSome Background Material
Chapter 1 Some Background Material In the first chapter, we present a quick review of elementary - but important - material as a way of dipping our toes in the water. This chapter also introduces important
More informationOn the Random XY Spin Chain
1 CBMS: B ham, AL June 17, 2014 On the Random XY Spin Chain Robert Sims University of Arizona 2 The Isotropic XY-Spin Chain Fix a real-valued sequence {ν j } j 1 and for each integer n 1, set acting on
More informationElementary linear algebra
Chapter 1 Elementary linear algebra 1.1 Vector spaces Vector spaces owe their importance to the fact that so many models arising in the solutions of specific problems turn out to be vector spaces. The
More informationMic ael Flohr Representation theory of semi-simple Lie algebras: Example su(3) 6. and 20. June 2003
Handout V for the course GROUP THEORY IN PHYSICS Mic ael Flohr Representation theory of semi-simple Lie algebras: Example su(3) 6. and 20. June 2003 GENERALIZING THE HIGHEST WEIGHT PROCEDURE FROM su(2)
More informationCONSTRAINED PERCOLATION ON Z 2
CONSTRAINED PERCOLATION ON Z 2 ZHONGYANG LI Abstract. We study a constrained percolation process on Z 2, and prove the almost sure nonexistence of infinite clusters and contours for a large class of probability
More informationVector Space Concepts
Vector Space Concepts ECE 174 Introduction to Linear & Nonlinear Optimization Ken Kreutz-Delgado ECE Department, UC San Diego Ken Kreutz-Delgado (UC San Diego) ECE 174 Fall 2016 1 / 25 Vector Space Theory
More informationDS-GA 1002 Lecture notes 0 Fall Linear Algebra. These notes provide a review of basic concepts in linear algebra.
DS-GA 1002 Lecture notes 0 Fall 2016 Linear Algebra These notes provide a review of basic concepts in linear algebra. 1 Vector spaces You are no doubt familiar with vectors in R 2 or R 3, i.e. [ ] 1.1
More informationMath 61CM - Solutions to homework 6
Math 61CM - Solutions to homework 6 Cédric De Groote November 5 th, 2018 Problem 1: (i) Give an example of a metric space X such that not all Cauchy sequences in X are convergent. (ii) Let X be a metric
More informationYour first day at work MATH 806 (Fall 2015)
Your first day at work MATH 806 (Fall 2015) 1. Let X be a set (with no particular algebraic structure). A function d : X X R is called a metric on X (and then X is called a metric space) when d satisfies
More informationCOMMON COMPLEMENTS OF TWO SUBSPACES OF A HILBERT SPACE
COMMON COMPLEMENTS OF TWO SUBSPACES OF A HILBERT SPACE MICHAEL LAUZON AND SERGEI TREIL Abstract. In this paper we find a necessary and sufficient condition for two closed subspaces, X and Y, of a Hilbert
More informationBrief review of Quantum Mechanics (QM)
Brief review of Quantum Mechanics (QM) Note: This is a collection of several formulae and facts that we will use throughout the course. It is by no means a complete discussion of QM, nor will I attempt
More informationSpectral theory for compact operators on Banach spaces
68 Chapter 9 Spectral theory for compact operators on Banach spaces Recall that a subset S of a metric space X is precompact if its closure is compact, or equivalently every sequence contains a Cauchy
More informationLecture 12: Detailed balance and Eigenfunction methods
Miranda Holmes-Cerfon Applied Stochastic Analysis, Spring 2015 Lecture 12: Detailed balance and Eigenfunction methods Readings Recommended: Pavliotis [2014] 4.5-4.7 (eigenfunction methods and reversibility),
More informationThe 3 dimensional Schrödinger Equation
Chapter 6 The 3 dimensional Schrödinger Equation 6.1 Angular Momentum To study how angular momentum is represented in quantum mechanics we start by reviewing the classical vector of orbital angular momentum
More informationLinear Algebra I. Ronald van Luijk, 2015
Linear Algebra I Ronald van Luijk, 2015 With many parts from Linear Algebra I by Michael Stoll, 2007 Contents Dependencies among sections 3 Chapter 1. Euclidean space: lines and hyperplanes 5 1.1. Definition
More informationRandom Fermionic Systems
Random Fermionic Systems Fabio Cunden Anna Maltsev Francesco Mezzadri University of Bristol December 9, 2016 Maltsev (University of Bristol) Random Fermionic Systems December 9, 2016 1 / 27 Background
More informationNewton s Method and Localization
Newton s Method and Localization Workshop on Analytical Aspects of Mathematical Physics John Imbrie May 30, 2013 Overview Diagonalizing the Hamiltonian is a goal in quantum theory. I would like to discuss
More informationA Lieb-Robinson Bound for the Toda System
1 FRG Workshop May 18, 2011 A Lieb-Robinson Bound for the Toda System Umar Islambekov The University of Arizona joint work with Robert Sims 2 Outline: 1. Motivation 2. Toda Lattice 3. Lieb-Robinson bounds
More informationFUNCTIONAL ANALYSIS-NORMED SPACE
MAT641- MSC Mathematics, MNIT Jaipur FUNCTIONAL ANALYSIS-NORMED SPACE DR. RITU AGARWAL MALAVIYA NATIONAL INSTITUTE OF TECHNOLOGY JAIPUR 1. Normed space Norm generalizes the concept of length in an arbitrary
More informationDiffusion of wave packets in a Markov random potential
Diffusion of wave packets in a Markov random potential Jeffrey Schenker Michigan State University Joint work with Yang Kang (JSP 134 (2009)) WIP with Eman Hamza & Yang Kang ETH Zürich 9 June 2009 Jeffrey
More informationvon Neumann algebras, II 1 factors, and their subfactors V.S. Sunder (IMSc, Chennai)
von Neumann algebras, II 1 factors, and their subfactors V.S. Sunder (IMSc, Chennai) Lecture 3 at IIT Mumbai, April 24th, 2007 Finite-dimensional C -algebras: Recall: Definition: A linear functional tr
More informationSelf-adjoint extensions of symmetric operators
Self-adjoint extensions of symmetric operators Simon Wozny Proseminar on Linear Algebra WS216/217 Universität Konstanz Abstract In this handout we will first look at some basics about unbounded operators.
More information1 Continuity Classes C m (Ω)
0.1 Norms 0.1 Norms A norm on a linear space X is a function : X R with the properties: Positive Definite: x 0 x X (nonnegative) x = 0 x = 0 (strictly positive) λx = λ x x X, λ C(homogeneous) x + y x +
More informationPhysics 239/139 Spring 2018 Assignment 2 Solutions
University of California at San Diego Department of Physics Prof. John McGreevy Physics 39/139 Spring 018 Assignment Solutions Due 1:30pm Monday, April 16, 018 1. Classical circuits brain-warmer. (a) Show
More informationResolvent Algebras. An alternative approach to canonical quantum systems. Detlev Buchholz
Resolvent Algebras An alternative approach to canonical quantum systems Detlev Buchholz Analytical Aspects of Mathematical Physics ETH Zürich May 29, 2013 1 / 19 2 / 19 Motivation Kinematics of quantum
More informationQuantum Theory and Group Representations
Quantum Theory and Group Representations Peter Woit Columbia University LaGuardia Community College, November 1, 2017 Queensborough Community College, November 15, 2017 Peter Woit (Columbia University)
More information(1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define
Homework, Real Analysis I, Fall, 2010. (1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define ρ(f, g) = 1 0 f(x) g(x) dx. Show that
More informationQuantum Physics III (8.06) Spring 2008 Final Exam Solutions
Quantum Physics III (8.6) Spring 8 Final Exam Solutions May 19, 8 1. Short answer questions (35 points) (a) ( points) α 4 mc (b) ( points) µ B B, where µ B = e m (c) (3 points) In the variational ansatz,
More informationUnitary Dynamics and Quantum Circuits
qitd323 Unitary Dynamics and Quantum Circuits Robert B. Griffiths Version of 20 January 2014 Contents 1 Unitary Dynamics 1 1.1 Time development operator T.................................... 1 1.2 Particular
More informationAddition of Angular Momenta
Addition of Angular Momenta What we have so far considered to be an exact solution for the many electron problem, should really be called exact non-relativistic solution. A relativistic treatment is needed
More informationMath 350 Fall 2011 Notes about inner product spaces. In this notes we state and prove some important properties of inner product spaces.
Math 350 Fall 2011 Notes about inner product spaces In this notes we state and prove some important properties of inner product spaces. First, recall the dot product on R n : if x, y R n, say x = (x 1,...,
More information6.1 Main properties of Shannon entropy. Let X be a random variable taking values x in some alphabet with probabilities.
Chapter 6 Quantum entropy There is a notion of entropy which quantifies the amount of uncertainty contained in an ensemble of Qbits. This is the von Neumann entropy that we introduce in this chapter. In
More informationMath Linear Algebra II. 1. Inner Products and Norms
Math 342 - Linear Algebra II Notes 1. Inner Products and Norms One knows from a basic introduction to vectors in R n Math 254 at OSU) that the length of a vector x = x 1 x 2... x n ) T R n, denoted x,
More informationLOCAL RECOVERY MAPS AS DUCT TAPE FOR MANY BODY SYSTEMS
LOCAL RECOVERY MAPS AS DUCT TAPE FOR MANY BODY SYSTEMS Michael J. Kastoryano November 14 2016, QuSoft Amsterdam CONTENTS Local recovery maps Exact recovery and approximate recovery Local recovery for many
More informationLocally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem
56 Chapter 7 Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem Recall that C(X) is not a normed linear space when X is not compact. On the other hand we could use semi
More informationMATH 581D FINAL EXAM Autumn December 12, 2016
MATH 58D FINAL EXAM Autumn 206 December 2, 206 NAME: SIGNATURE: Instructions: there are 6 problems on the final. Aim for solving 4 problems, but do as much as you can. Partial credit will be given on all
More informationQuantum numbers for relative ground states of antiferromagnetic Heisenberg spin rings
Quantum numbers for relative ground states of antiferromagnetic Heisenberg spin rings Klaus Bärwinkel, Peter Hage, Heinz-Jürgen Schmidt, and Jürgen Schnack Universität Osnabrück, Fachbereich Physik, D-49069
More informationCompression, Matrix Range and Completely Positive Map
Compression, Matrix Range and Completely Positive Map Iowa State University Iowa-Nebraska Functional Analysis Seminar November 5, 2016 Definitions and notations H, K : Hilbert space. If dim H = n
More informationA Minimal Uncertainty Product for One Dimensional Semiclassical Wave Packets
A Minimal Uncertainty Product for One Dimensional Semiclassical Wave Packets George A. Hagedorn Happy 60 th birthday, Mr. Fritz! Abstract. Although real, normalized Gaussian wave packets minimize the product
More informationAnderson Localization on the Sierpinski Gasket
Anderson Localization on the Sierpinski Gasket G. Mograby 1 M. Zhang 2 1 Department of Physics Technical University of Berlin, Germany 2 Department of Mathematics Jacobs University, Germany 5th Cornell
More informationQuantum Mechanics Solutions
Quantum Mechanics Solutions (a (i f A and B are Hermitian, since (AB = B A = BA, operator AB is Hermitian if and only if A and B commute So, we know that [A,B] = 0, which means that the Hilbert space H
More informationMany-body entanglement witness
Many-body entanglement witness Jeongwan Haah, MIT 21 January 2015 Coogee, Australia arxiv:1407.2926 Quiz Energy Entanglement Charge Invariant Momentum Total spin Rest Mass Complexity Class Many-body Entanglement
More informationPreparing Projected Entangled Pair States on a Quantum Computer
Preparing Projected Entangled Pair States on a Quantum Computer Martin Schwarz, Kristan Temme, Frank Verstraete University of Vienna, Faculty of Physics, Boltzmanngasse 5, 1090 Vienna, Austria Toby Cubitt,
More informationFeshbach-Schur RG for the Anderson Model
Feshbach-Schur RG for the Anderson Model John Z. Imbrie University of Virginia Isaac Newton Institute October 26, 2018 Overview Consider the localization problem for the Anderson model of a quantum particle
More informationMathematical foundations - linear algebra
Mathematical foundations - linear algebra Andrea Passerini passerini@disi.unitn.it Machine Learning Vector space Definition (over reals) A set X is called a vector space over IR if addition and scalar
More informationPhysics 127b: Statistical Mechanics. Landau Theory of Second Order Phase Transitions. Order Parameter
Physics 127b: Statistical Mechanics Landau Theory of Second Order Phase Transitions Order Parameter Second order phase transitions occur when a new state of reduced symmetry develops continuously from
More information= F (b) F (a) F (x i ) F (x i+1 ). a x 0 x 1 x n b i
Real Analysis Problem 1. If F : R R is a monotone function, show that F T V ([a,b]) = F (b) F (a) for any interval [a, b], and that F has bounded variation on R if and only if it is bounded. Here F T V
More information