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Entanglement fluctuations

Esko Keski-Vakkuri

University of Helsinki

Mat. Phys. Seminar, Jan/25/2017

ref. J. de Boer, J. Järvelä, E. K-V., arXiv:170?.????

(+ see the refs. in the preprint to appear )

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Thoughts:

How to characterizequantum fluctuationsin quantum states ρ ? Observables -> probability density function,moments and cumulants

von Neumann entropy S as a random variable How to compute hSni , hSnic?

Specifically: consider a subregion A and entanglement entropy Are therespecial relationsamong the moments?

If agravity dual exists, is there a telltale special relation?

(3)

Results:

Rényi entropy as a generating function for moments Focus onvarianceof entropy, ∆S2

Equals to aheat capacity Upper boundon ∆S2

Subregion A and entanglement entropy:

For (2d) CFTs:∆SEE2 = SEE(leading terms)

Holds even throughout quenches, non-equilibrium to thermality Violatedwhen deforming away from criticality

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Density matrix written with the modular Hamiltonian K (canonical normalization)

ρ = e−K von Neumann entropy = hKi:

SV = −Trρ log ρ = −hlog ρi = hKi Moments of S = moments of K:

SVn = Tr[ρ(− log ρ)n] = hKni Rényi entropies:

Sα= 1

1 − αlog Trρα Well known how to obtain SV:

SV = lim

α→1Sα

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But haven’t seen this (?): Rényi entropy as a generating function for the moments:

k(α) = Tr (ρα) = (1 − α)Sα

SVn = hKni = (−1)ndnk(α) dαn |α=1

The logarithm is then a generating function for the cumulants:

˜k(α) = log k(α)

hKnic= (−1)ndn˜k(α) dαn |α=1. In particular, the variance

∆S2V = hK2ic= (−1)2(2)(α = 1) = k00(1)k(1) − (k0(1))2 (k(1))2

= hK2i · 1 − hKi2

1 = SV2 − (SV)2

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Condensed matter theory: interest in the full eigenvalue spectrum, the eigenvalues {λm= e−εn} of the density matrix ρ (or the eigenvalues εn

of the modular Hamiltonian) and their multiplicities gm. Partition function k(α) =X

m

gmλαm=X

m

gme−αεm = Z(βα)

with ‘temperature’

Tα= 1/βα= 1/α . Thus,

eigenvalue spectrum ⇔ moments/cumulants of entropy Different ways to package the same information, but may highlight different features of the system.

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A variant of Rényi entropy: modular entropy (Xi Dong):

α≡ α2α α − 1 α Sα



Reduces to von Neumann entropy as α = 1. Satisfies thermodynamic relation:

α= −∂Fα

∂Tα

, Define then

Eα= ∂

∂βααFα) . and a α-heat capacity

Cα≡ ∂Eα

∂Tα

Of particular interest is α = 1, where modular entropy = von Neumann entropy. Define the heat capacity (related work: Nakaguchi, Nishioka)

C = lim

α=1Cα

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We show the heat capacity satisfies the usual thermodynamic relation C = ∆S2V .

Specifically when ρ is a reduced density matrix, starting from a CFT vacuum, with half-line subregion, can map to a thermal CFT on hyperbolic cylinder (Hung, Myers, Smolkin, Yale). Then:

Tα=1→ Tthermal

SV = SEE→ Sthermal

C → Cthermal

C = ∆2SEE → Cthermal= ∆Sthermal2

So map to the natural thermodynamic counterparts.

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Example 1: Two-qubit system,

|θ, φi = cos(θ/2)|10i + esin(θ/2)|01i trace over one spin:

0.2 0.4 0.6 0.8 1.0x

0.1 0.2 0.3 0.4 0.5 0.6 0.7

svar(x) s(x)

(cf. Feld’man, Yurishchev 2009)

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Example 2: Eigenvalue spectrum with N Gaussian distributed eigenvalues λiof ρ:

Entropy and variance: (σ = 0: pure state, σ = ∞: max mixed)

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Upper bound on variance? (Warning: not yet triple-checked!) Consider N eigenvalues λi. ConstraintP

iλi= 1. Maximize ∆S2. Find: can reduce to n1, n2eigenvalues λ1, λ2, rest =0.

Then,

∆S2≤ ∆Smax= 1

4(log N )2=1 4Smax2

where Smax= log N for a max mixed state. Different state gives ∆Smax2 ! Anything special about it?

(For max mixed state: moments Sn = (ln N )n; cumulants vanish for n > 1. )

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How to measure entanglement? (Klich, Refael, Silva, Levitov,...) Quantum many-body system in its ground state |ψi

Fluctuating number of (quasi)particles (or U (1) charge) in region A, hNAi = Tr(ρAN ).ˆ

Cumulants Cnof the number distribution.[H.F.Song et. al. PRB.85.035409]

Entanglement associated w/ (entangled) particles in/out of A.

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The Rényi entropy of subregion A related to cumulants of particle number,

Sα(A) =

X

k=1

s(α)k C2k

Simplest case systems ∼ free fermions (Song et al, Calabrese et al.).

Find:

SEE(A) =

X

k=1

(2π)2k|B2k|

(2k)! C2k= π2

3 C24

45C4+ · · ·

∆SEE2 (A) = π2 3 C2+

X

k=2

2(2π)2k|B2k|

(2k − 1)! C2k= π2

3 C2+8π4

45 C4+ · · · ,

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In the limit of large particle number (density), C2term dominates, so

∆SEE2 = SEE ! (N → ∞) (∗)

Speculation:assumethe system has a gravity dual. Typically invoke large N limit of particle species, thus average particle number

NA= 1 N

N

X

i=1

NA(i),

in the large N limit central limit theorem -> Gaussian NA-> (∗)!

Caveats:

Strong coupling

Non-local observables (e.g. Wilson loops in gauge sector)

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1+1 CFTs: General analytical results for the Rényi entropies exist, Tr(ραA) = cαe12c(α−α1)WA

implying (leading terms)

∆SEE2 = SEE = c

6WA+ · · · Examples:

WA=





















2 log l

infinite system, T = 0 2 log πL sinL

finite system, size L, T = 0 2 logβ

πsinhβ

infinite system, T > 0 ; logβ

πcosh(2πt/β)

global quench at t = 0 log

t22

λ/2



local quench at t = 0 ,

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In higher dimensions, can derive

∆SEE2 ∼ SEE

but more subtleties; associated with sensitivity to different regularization schemes

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What happens away from criticality / conformal symmetry?

Consider the Heisenberg quantum XY spin chain

H = −

X

j=−∞

(1 + γ)σjxσj+1x + (1 − γ)σjyσyj+1+ hσjz ,

Franchini, Its, Korepin; arXiv:0707.2534

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Franchini, Its, Korepin computed the Rényi entropies. Derive from that SEE− ∆SEE2 .

Entropy, variance deviate deforming away from critical lines:

(A) (B)

Kuva: Samples of the difference SEE− ∆SEE2 near the critical line hc= 2 (A) and near the critical line γ = 0 (B) .

References

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