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 )
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?
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
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
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)2k˜(2)(α = 1) = k00(1)k(1) − (k0(1))2 (k(1))2
= hK2i · 1 − hKi2
1 = SV2 − (SV)2
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.
A variant of Rényi entropy: modular entropy (Xi Dong):
S˜α≡ α2∂α α − 1 α Sα
Reduces to von Neumann entropy as α = 1. Satisfies thermodynamic relation:
S˜α= −∂Fα
∂Tα
, Define then
Eα= ∂
∂βα(βαFα) . 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
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.
Example 1: Two-qubit system,
|θ, φi = cos(θ/2)|10i + eiφsin(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)
Example 2: Eigenvalue spectrum with N Gaussian distributed eigenvalues λiof ρ:
Entropy and variance: (σ = 0: pure state, σ = ∞: max mixed)
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. )
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.
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 C2+π4
45C4+ · · ·
∆SEE2 (A) = π2 3 C2+
∞
X
k=2
2(2π)2k|B2k|
(2k − 1)! C2k= π2
3 C2+8π4
45 C4+ · · · ,
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)
1+1 CFTs: General analytical results for the Rényi entropies exist, Tr(ραA) = cαe−12c(α−α1)WA
implying (leading terms)
∆SEE2 = SEE = c
6WA+ · · · Examples:
WA=
2 log l
infinite system, T = 0 2 log πL sinlπL
finite system, size L, T = 0 2 logβ
πsinhlπβ
infinite system, T > 0 ; logβ
πcosh(2πt/β)
global quench at t = 0 log
t2+λ2
λ/2
local quench at t = 0 ,
In higher dimensions, can derive
∆SEE2 ∼ SEE
but more subtleties; associated with sensitivity to different regularization schemes
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
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) .