Entanglement Entropy of a Random Pure State
Entanglement Entropy of a Random Pure State
Entanglement Entropy of a Random Pure State
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Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a<br />
<strong>Random</strong> <strong>Pure</strong> <strong>State</strong><br />
Satya N. Majumdar<br />
Laboratoire de Physique Théorique et Modèles Statistiques,CNRS,<br />
Université Paris-Sud, France<br />
February 14, 2012<br />
Collaborators:<br />
C. Nadal (Oxford University, UK)<br />
M. Vergassola (Institut Pasteur, Paris, France)<br />
Refs: Phys. Rev. Lett. 104, 110501 (2010)<br />
J. Stat. Phys. 142, 403 (2011) (long version)<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Plan<br />
Plan:<br />
• Bipartite entanglement <strong>of</strong> a random pure state<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Plan<br />
Plan:<br />
• Bipartite entanglement <strong>of</strong> a random pure state<br />
• Reduced density matrix −→ random matrix theory<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Plan<br />
Plan:<br />
• Bipartite entanglement <strong>of</strong> a random pure state<br />
• Reduced density matrix −→ random matrix theory<br />
• Distribution <strong>of</strong> the Renyi entropy<br />
Results<br />
Coulomb gas technique for large systems<br />
Phase transitions<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Plan<br />
Plan:<br />
• Bipartite entanglement <strong>of</strong> a random pure state<br />
• Reduced density matrix −→ random matrix theory<br />
• Distribution <strong>of</strong> the Renyi entropy<br />
Results<br />
Coulomb gas technique for large systems<br />
Phase transitions<br />
• Summary and Conclusions<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Coupled Bipartite System<br />
A<br />
B<br />
N−dim.<br />
M−dim.<br />
| i A<br />
|α B<br />
Coupled Bipartite System<br />
N M<br />
Bipartite quantum system A × B: Hilbert space H A ⊗H B<br />
subsystem A: dimension N (the system to study)<br />
subsystem B: dimension M ≥ N (“environment”)<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Coupled Bipartite System<br />
A<br />
B<br />
N−dim.<br />
M−dim.<br />
| i A<br />
|α B<br />
Coupled Bipartite System<br />
N M<br />
Bipartite quantum system A × B: Hilbert space H A ⊗H B<br />
subsystem A: dimension N (the system to study)<br />
subsystem B: dimension M ≥ N (“environment”)<br />
Large system: limit N ≫ 1 and M ≫ 1 with M ≈ N.<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Pure</strong> <strong>State</strong> and Reduced Density Matrix<br />
A<br />
B<br />
N−dim.<br />
M−dim.<br />
| i A<br />
|α B<br />
Coupled Bipartite System<br />
N M<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Pure</strong> <strong>State</strong> and Reduced Density Matrix<br />
A<br />
B<br />
N−dim.<br />
M−dim.<br />
| i A<br />
|α B<br />
Coupled Bipartite System<br />
N M<br />
Any pure state <strong>of</strong> the full system:<br />
|ψ >= ∑ i,α<br />
x i,α |i A > ⊗|α B ><br />
X = [x i,α ] → (N × M) rectangular Coupling matrix<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Pure</strong> <strong>State</strong> <strong>of</strong> Bipartite System<br />
• |ψ >= ∑ i,α<br />
x i,α |i A > ⊗|α B ><br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Pure</strong> <strong>State</strong> <strong>of</strong> Bipartite System<br />
• |ψ >= ∑ i,α<br />
x i,α |i A > ⊗|α B ><br />
• If x i,α = a i b α then<br />
|ψ >= ∑ i<br />
a i |i A > ⊗ ∑ α<br />
b α |α B >= |Φ A > ⊗|Φ B ><br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Pure</strong> <strong>State</strong> <strong>of</strong> Bipartite System<br />
• |ψ >= ∑ i,α<br />
x i,α |i A > ⊗|α B ><br />
• If x i,α = a i b α then<br />
|ψ >= ∑ i<br />
a i |i A > ⊗ ∑ α<br />
b α |α B >= |Φ A > ⊗|Φ B ><br />
−→ Fully separable (factorised)<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Pure</strong> <strong>State</strong> <strong>of</strong> Bipartite System<br />
• |ψ >= ∑ i,α<br />
x i,α |i A > ⊗|α B ><br />
• If x i,α = a i b α then<br />
|ψ >= ∑ i<br />
a i |i A > ⊗ ∑ α<br />
b α |α B >= |Φ A > ⊗|Φ B ><br />
−→ Fully separable (factorised)<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Pure</strong> <strong>State</strong> <strong>of</strong> Bipartite System<br />
• |ψ >= ∑ i,α<br />
x i,α |i A > ⊗|α B ><br />
• If x i,α = a i b α then<br />
|ψ >= ∑ i<br />
a i |i A > ⊗ ∑ α<br />
b α |α B >= |Φ A > ⊗|Φ B ><br />
−→ Fully separable (factorised)<br />
Otherwise −→ Entangled (non-factorisable)<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Pure</strong> <strong>State</strong> <strong>of</strong> Bipartite System<br />
• |ψ >= ∑ i,α<br />
x i,α |i A > ⊗|α B ><br />
• If x i,α = a i b α then<br />
|ψ >= ∑ i<br />
a i |i A > ⊗ ∑ α<br />
b α |α B >= |Φ A > ⊗|Φ B ><br />
−→ Fully separable (factorised)<br />
Otherwise −→ Entangled (non-factorisable)<br />
• Density matrix <strong>of</strong> the composite system<br />
ˆρ = |ψ >< ψ| with Tr[ˆρ] = 1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Pure</strong> <strong>State</strong> <strong>of</strong> Bipartite System<br />
• |ψ >= ∑ i,α<br />
x i,α |i A > ⊗|α B ><br />
• If x i,α = a i b α then<br />
|ψ >= ∑ i<br />
a i |i A > ⊗ ∑ α<br />
b α |α B >= |Φ A > ⊗|Φ B ><br />
−→ Fully separable (factorised)<br />
Otherwise −→ Entangled (non-factorisable)<br />
• Density matrix <strong>of</strong> the composite system<br />
ˆρ = |ψ >< ψ| with Tr[ˆρ] = 1<br />
• <strong>Pure</strong> state: ˆρ ≠ ∑ k<br />
p k |ψ k >< ψ k | → not a Mixed state<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Reduced Density Matrix <strong>of</strong> subsystem A:<br />
A<br />
B<br />
N−dim.<br />
M−dim.<br />
| i A<br />
|α B<br />
Coupled Bipartite System<br />
N M<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Reduced Density Matrix <strong>of</strong> subsystem A:<br />
A<br />
B<br />
N−dim.<br />
M−dim.<br />
| i A<br />
|α B<br />
Coupled Bipartite System<br />
N M<br />
• Reduced Density Matrix: ˆρ A = Tr B [ˆρ] = Tr B [|ψ〉〈ψ|] with Tr[ˆρ A ] = 1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Reduced Density Matrix <strong>of</strong> subsystem A:<br />
A<br />
B<br />
N−dim.<br />
M−dim.<br />
| i A<br />
|α B<br />
Coupled Bipartite System<br />
N M<br />
• Reduced Density Matrix: ˆρ A = Tr B [ˆρ] = Tr B [|ψ〉〈ψ|] with Tr[ˆρ A ] = 1<br />
Measurement → 〈ÔA〉 = Tr[Ô ˆρ A]<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Reduced Density Matrix <strong>of</strong> subsystem A:<br />
A<br />
B<br />
N−dim.<br />
M−dim.<br />
| i A<br />
|α B<br />
Coupled Bipartite System<br />
N M<br />
• Reduced Density Matrix: ˆρ A = Tr B [ˆρ] = Tr B [|ψ〉〈ψ|] with Tr[ˆρ A ] = 1<br />
Measurement → 〈ÔA〉 = Tr[Ô ˆρ A]<br />
• ˆρ A = Tr B [ˆρ]<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Reduced Density Matrix <strong>of</strong> subsystem A:<br />
A<br />
B<br />
N−dim.<br />
M−dim.<br />
| i A<br />
|α B<br />
Coupled Bipartite System<br />
N M<br />
• Reduced Density Matrix: ˆρ A = Tr B [ˆρ] = Tr B [|ψ〉〈ψ|] with Tr[ˆρ A ] = 1<br />
Measurement → 〈ÔA〉 = Tr[Ô ˆρ A]<br />
M∑<br />
• ˆρ A = Tr B [ˆρ] = < α B |ˆρ|α B ><br />
α=1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Reduced Density Matrix <strong>of</strong> subsystem A:<br />
A<br />
B<br />
N−dim.<br />
M−dim.<br />
| i A<br />
|α B<br />
Coupled Bipartite System<br />
N M<br />
• Reduced Density Matrix: ˆρ A = Tr B [ˆρ] = Tr B [|ψ〉〈ψ|] with Tr[ˆρ A ] = 1<br />
Measurement → 〈ÔA〉 = Tr[Ô ˆρ A]<br />
[<br />
M∑<br />
N∑ M<br />
]<br />
∑<br />
• ˆρ A = Tr B [ˆρ] = < α B |ˆρ|α B > = x i,α xj,α<br />
∗ |i A >< j A |<br />
α=1<br />
i,j=1<br />
α=1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Reduced Density Matrix <strong>of</strong> subsystem A:<br />
A<br />
B<br />
N−dim.<br />
M−dim.<br />
| i A<br />
|α B<br />
Coupled Bipartite System<br />
N M<br />
• Reduced Density Matrix: ˆρ A = Tr B [ˆρ] = Tr B [|ψ〉〈ψ|] with Tr[ˆρ A ] = 1<br />
Measurement → 〈ÔA〉 = Tr[Ô ˆρ A]<br />
[<br />
M∑<br />
N∑ M<br />
]<br />
∑<br />
• ˆρ A = Tr B [ˆρ] = < α B |ˆρ|α B > = x i,α xj,α<br />
∗ |i A >< j A |<br />
α=1<br />
=<br />
i,j=1<br />
α=1<br />
N∑<br />
W i,j |i A >< j A |<br />
i,j=1<br />
where the N × N matrix: W = XX †<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Eigenvalues <strong>of</strong> W:<br />
• In the diagonal representation<br />
N∑<br />
N∑<br />
ˆρ A = W i,j |i A >< j A | → λ i |λ A i >< λ A i |<br />
i,j=1<br />
i=1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Eigenvalues <strong>of</strong> W:<br />
• In the diagonal representation<br />
N∑<br />
N∑<br />
ˆρ A = W i,j |i A >< j A | → λ i |λ A i >< λ A i |<br />
i,j=1<br />
i=1<br />
{λ 1 , λ 2 , . . . , λ N } → non-negative eigenvalues <strong>of</strong> W = XX †<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Eigenvalues <strong>of</strong> W:<br />
• In the diagonal representation<br />
N∑<br />
N∑<br />
ˆρ A = W i,j |i A >< j A | → λ i |λ A i >< λ A i |<br />
i,j=1<br />
i=1<br />
{λ 1 , λ 2 , . . . , λ N } → non-negative eigenvalues <strong>of</strong> W = XX †<br />
Tr[ˆρ A ] = 1 →<br />
N∑<br />
λ i = 1 ⇒ 0 ≤ λ i ≤ 1<br />
i=1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Eigenvalues <strong>of</strong> W:<br />
• In the diagonal representation<br />
N∑<br />
N∑<br />
ˆρ A = W i,j |i A >< j A | → λ i |λ A i >< λ A i |<br />
i,j=1<br />
i=1<br />
{λ 1 , λ 2 , . . . , λ N } → non-negative eigenvalues <strong>of</strong> W = XX †<br />
Tr[ˆρ A ] = 1 →<br />
N∑<br />
λ i = 1 ⇒ 0 ≤ λ i ≤ 1<br />
i=1<br />
M∑<br />
• Similarly ˆρ B = Tr A [ˆρ] = W α,β ′ |α B >< β B |<br />
α,β=1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Eigenvalues <strong>of</strong> W:<br />
• In the diagonal representation<br />
N∑<br />
N∑<br />
ˆρ A = W i,j |i A >< j A | → λ i |λ A i >< λ A i |<br />
i,j=1<br />
i=1<br />
{λ 1 , λ 2 , . . . , λ N } → non-negative eigenvalues <strong>of</strong> W = XX †<br />
Tr[ˆρ A ] = 1 →<br />
N∑<br />
λ i = 1 ⇒ 0 ≤ λ i ≤ 1<br />
i=1<br />
M∑<br />
• Similarly ˆρ B = Tr A [ˆρ] = W α,β ′ |α B >< β B |<br />
α,β=1<br />
W ′ = X † X → (M × M) matrix with M eigenvalues (recall N ≤ M)<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Eigenvalues <strong>of</strong> W:<br />
• In the diagonal representation<br />
N∑<br />
N∑<br />
ˆρ A = W i,j |i A >< j A | → λ i |λ A i >< λ A i |<br />
i,j=1<br />
i=1<br />
{λ 1 , λ 2 , . . . , λ N } → non-negative eigenvalues <strong>of</strong> W = XX †<br />
Tr[ˆρ A ] = 1 →<br />
N∑<br />
λ i = 1 ⇒ 0 ≤ λ i ≤ 1<br />
i=1<br />
• Similarly ˆρ B = Tr A [ˆρ] =<br />
M∑<br />
α,β=1<br />
W ′ α,β |α B >< β B |<br />
W ′ = X † X → (M × M) matrix with M eigenvalues (recall N ≤ M)<br />
{λ 1 , λ 2 , . . . , λ N , 0, 0, . . . , 0}<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Eigenvalues <strong>of</strong> W:<br />
• In the diagonal representation<br />
N∑<br />
N∑<br />
ˆρ A = W i,j |i A >< j A | → λ i |λ A i >< λ A i |<br />
i,j=1<br />
i=1<br />
{λ 1 , λ 2 , . . . , λ N } → non-negative eigenvalues <strong>of</strong> W = XX †<br />
Tr[ˆρ A ] = 1 →<br />
N∑<br />
λ i = 1 ⇒ 0 ≤ λ i ≤ 1<br />
i=1<br />
• Similarly ˆρ B = Tr A [ˆρ] =<br />
M∑<br />
α,β=1<br />
W ′ α,β |α B >< β B |<br />
W ′ = X † X → (M × M) matrix with M eigenvalues (recall N ≤ M)<br />
{λ 1 , λ 2 , . . . , λ N , 0, 0, . . . , 0}<br />
• Schmidt decomposition: |ψ >=<br />
N∑ √<br />
λi |λ A i > ⊗|λ B i ><br />
i=1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Entanglement</strong><br />
N∑ √<br />
• Schmidt decomposition: |ψ >= λi |λ A i > ⊗|λ B i ><br />
N∑<br />
• Reduced density matrix: ˆρ A = Tr B [|ψ >< ψ|] = λ i |λ A i >< λ A i |<br />
i=1<br />
i=1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Entanglement</strong><br />
N∑ √<br />
• Schmidt decomposition: |ψ >= λi |λ A i > ⊗|λ B i ><br />
N∑<br />
• Reduced density matrix: ˆρ A = Tr B [|ψ >< ψ|] = λ i |λ A i >< λ A i |<br />
i=1<br />
• {λ 1 , λ 2 , . . . , λ N } → eigenvalues <strong>of</strong> W = XX † with<br />
N∑<br />
0 ≤ λ i ≤ 1 and<br />
λ i = 1<br />
i=1<br />
i=1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Entanglement</strong><br />
• Schmidt decomposition: |ψ >=<br />
N∑ √<br />
λi |λ A i > ⊗|λ B i ><br />
i=1<br />
• Reduced density matrix: ˆρ A = Tr B [|ψ >< ψ|] =<br />
• {λ 1 , λ 2 , . . . , λ N } → eigenvalues <strong>of</strong> W = XX † with<br />
N∑<br />
0 ≤ λ i ≤ 1 and<br />
λ i = 1<br />
(i) Unentangled<br />
λ i0 = 1, λ j = 0 ∀j ≠ i 0<br />
|ψ〉 = |λ A i 0<br />
〉 ⊗ |λ B i 0<br />
〉<br />
is separable<br />
ˆρ A = |λ A i 0<br />
〉〈λ A i 0<br />
| is pure<br />
i=1<br />
N∑<br />
λ i |λ A i >< λ A i |<br />
i=1<br />
(ii) Maximally entangled<br />
λ j = 1/N for all j<br />
(all eigenvalues equal)<br />
|ψ〉 is a superposition <strong>of</strong> all<br />
product states<br />
ˆρ A = 1 N<br />
∑ N<br />
i=1 |λA i 〉〈λ A i | = 1 N 1 A is<br />
completely mixed<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Entanglement</strong> entropy<br />
Subsystem A described by ˆρ A = ∑ N<br />
i=1 λ i|λ A i 〉〈λ A i |<br />
• Von Neuman entropy: S VN = −Tr [ˆρ A ln ˆρ A ] = − ∑ N<br />
i=1 λ i ln λ i<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Entanglement</strong> entropy<br />
Subsystem A described by ˆρ A = ∑ N<br />
i=1 λ i|λ A i 〉〈λ A i |<br />
• Von Neuman entropy: S VN = −Tr [ˆρ A ln ˆρ A ] = − ∑ N<br />
i=1 λ i ln λ i<br />
[<br />
• Renyi entropy: S q = 1<br />
1−q ln ∑N<br />
]<br />
i=1 λq i<br />
and Σ q = ∑ N<br />
i=1 λq i<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Entanglement</strong> entropy<br />
Subsystem A described by ˆρ A = ∑ N<br />
i=1 λ i|λ A i 〉〈λ A i |<br />
• Von Neuman entropy: S VN = −Tr [ˆρ A ln ˆρ A ] = − ∑ N<br />
i=1 λ i ln λ i<br />
[<br />
• Renyi entropy: S q = 1<br />
1−q ln ∑N<br />
]<br />
i=1 λq i<br />
and Σ q = ∑ N<br />
i=1 λq i<br />
• S q→1 = S VN and S q→∞ = − ln(λ max )<br />
• Σ 2 = exp[−S q=2 ] −→ Purity<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Entanglement</strong> entropy<br />
Subsystem A described by ˆρ A = ∑ N<br />
i=1 λ i|λ A i 〉〈λ A i |<br />
• Von Neuman entropy: S VN = −Tr [ˆρ A ln ˆρ A ] = − ∑ N<br />
i=1 λ i ln λ i<br />
[<br />
• Renyi entropy: S q = 1<br />
1−q ln ∑N<br />
]<br />
i=1 λq i<br />
and Σ q = ∑ N<br />
i=1 λq i<br />
• S q→1 = S VN and S q→∞ = − ln(λ max )<br />
• Σ 2 = exp[−S q=2 ] −→ Purity<br />
(i) Unentangled<br />
λ i0 = 1, λ j = 0 ∀j ≠ i 0<br />
ˆρ A = |λ A i 0<br />
〉〈λ A i 0<br />
| is pure<br />
S VN = 0 = S q is minimal<br />
S.N. Majumdar<br />
(ii) Maximally entangled<br />
λ j = 1/N for all j<br />
ˆρ A = 1 N<br />
∑ N<br />
i=1 |λA i 〉〈λ A i | mixed<br />
S VN = ln N = S q is maximal<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
A Simple Diagram for N=3<br />
(0,0,1)<br />
λ 3<br />
(1/3,1/3,1/3)<br />
MOST<br />
ENTANGLED<br />
S=log(N)<br />
λ 2<br />
(0,1,0)<br />
λ (1,0,0) 1<br />
LEAST ENTANGLED<br />
S=0<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
A Simple Diagram for N=3<br />
(0,0,1)<br />
λ 3<br />
(1/3,1/3,1/3)<br />
MOST<br />
ENTANGLED<br />
S=log(N)<br />
λ 2<br />
(0,1,0)<br />
λ (1,0,0) 1<br />
LEAST ENTANGLED<br />
S=0<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Random</strong> <strong>Pure</strong> <strong>State</strong>: Haar Measure<br />
|ψ >= ∑ x i,α |i A > ⊗|α B > =<br />
i,α<br />
N∑ √<br />
λi |λ A i > ⊗|λ B i ><br />
i=1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Random</strong> <strong>Pure</strong> <strong>State</strong>: Haar Measure<br />
|ψ >= ∑ i,α<br />
x i,α |i A > ⊗|α B > =<br />
N∑ √<br />
λi |λ A i > ⊗|λ B i ><br />
• random pure state −→ where X = [x i,α ] are uniformly distributed<br />
among the sets <strong>of</strong> {x i,α } satisfying ∑ i,α |x i,α| 2 = Trρ = 1<br />
i=1<br />
−→ Haar measure<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Random</strong> <strong>Pure</strong> <strong>State</strong>: Haar Measure<br />
|ψ >= ∑ i,α<br />
x i,α |i A > ⊗|α B > =<br />
N∑ √<br />
λi |λ A i > ⊗|λ B i ><br />
• random pure state −→ where X = [x i,α ] are uniformly distributed<br />
among the sets <strong>of</strong> {x i,α } satisfying ∑ i,α |x i,α| 2 = Trρ = 1<br />
i=1<br />
−→ Haar measure<br />
• Equivalently, for the N × M matrix<br />
P(X ) ∝ δ ( Tr(XX † ) − 1 )<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Random</strong> <strong>Pure</strong> <strong>State</strong>: Haar Measure<br />
|ψ >= ∑ i,α<br />
x i,α |i A > ⊗|α B > =<br />
N∑ √<br />
λi |λ A i > ⊗|λ B i ><br />
• random pure state −→ where X = [x i,α ] are uniformly distributed<br />
among the sets <strong>of</strong> {x i,α } satisfying ∑ i,α |x i,α| 2 = Trρ = 1<br />
i=1<br />
−→ Haar measure<br />
• Equivalently, for the N × M matrix<br />
P(X ) ∝ δ ( Tr(XX † ) − 1 )<br />
• In the basis |i A 〉 <strong>of</strong> H A : ˆρ A = W = XX †<br />
−→ Distribution <strong>of</strong> the eigenvalues λ i <strong>of</strong> ˆρ A ?<br />
−→ Distribution <strong>of</strong> the entanglement entropies S VN , S q ?<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Joint PDF <strong>of</strong> Eigenvalues<br />
• the joint pdf P(λ 1 , λ 2 , . . . , λ N )<br />
where {λ 1 , λ 2 , . . . , λ N } → eigenvalues <strong>of</strong> the Wishart matrix<br />
W = XX † (X → N × M Gaussian random matrix)<br />
with an additional constraint<br />
N∑<br />
λ i = 1<br />
i=1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Joint PDF <strong>of</strong> Eigenvalues<br />
• the joint pdf P(λ 1 , λ 2 , . . . , λ N )<br />
where {λ 1 , λ 2 , . . . , λ N } → eigenvalues <strong>of</strong> the Wishart matrix<br />
W = XX † (X → N × M Gaussian random matrix)<br />
with an additional constraint<br />
N∑<br />
λ i = 1<br />
i=1<br />
• Joint distribution <strong>of</strong> Wishart eigenvalues (James ’64):<br />
[ ]<br />
P({λ i }) ∝ exp − β N∑ ∏<br />
λ i λ β 2 (1+M−N)−1 ∏<br />
i<br />
|λ j − λ k | β<br />
2<br />
i=1 i<br />
j
Joint PDF <strong>of</strong> Eigenvalues<br />
• the joint pdf P(λ 1 , λ 2 , . . . , λ N )<br />
where {λ 1 , λ 2 , . . . , λ N } → eigenvalues <strong>of</strong> the Wishart matrix<br />
W = XX † (X → N × M Gaussian random matrix)<br />
with an additional constraint<br />
N∑<br />
λ i = 1<br />
i=1<br />
• Joint distribution <strong>of</strong> Wishart eigenvalues (James ’64):<br />
[ ] (<br />
P({λ i }) ∝ exp − β N∑ ∏<br />
λ i λ β 2 (1+M−N)−1 ∏<br />
N<br />
)<br />
∑<br />
i<br />
|λ j − λ k | β ×δ λ i − 1<br />
2<br />
i=1 i<br />
i=1<br />
j
Joint PDF <strong>of</strong> Eigenvalues<br />
• the joint pdf P(λ 1 , λ 2 , . . . , λ N )<br />
where {λ 1 , λ 2 , . . . , λ N } → eigenvalues <strong>of</strong> the Wishart matrix<br />
W = XX † (X → N × M Gaussian random matrix)<br />
with an additional constraint<br />
N∑<br />
λ i = 1<br />
i=1<br />
• Joint distribution <strong>of</strong> Wishart eigenvalues (James ’64):<br />
[ ] (<br />
P({λ i }) ∝ exp − β N∑ ∏<br />
λ i λ β 2 (1+M−N)−1 ∏<br />
N<br />
)<br />
∑<br />
i<br />
|λ j − λ k | β ×δ λ i − 1<br />
2<br />
i=1 i<br />
i=1<br />
j
<strong>Random</strong> <strong>Pure</strong> <strong>State</strong>: Well Studied<br />
• Average von Neumann entropy: 〈S VN 〉 → ln N − N<br />
2M for M ∼ N ≫ 1<br />
−→ Near Maximal<br />
[Lubkin (’78), Page (’93), Foong and Kanno (’94), Sánchez-Ruiz (’95),<br />
Sen (’96)]<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Random</strong> <strong>Pure</strong> <strong>State</strong>: Well Studied<br />
• Average von Neumann entropy: 〈S VN 〉 → ln N − N<br />
2M for M ∼ N ≫ 1<br />
−→ Near Maximal<br />
[Lubkin (’78), Page (’93), Foong and Kanno (’94), Sánchez-Ruiz (’95),<br />
Sen (’96)]<br />
• statistics <strong>of</strong> observables such as average density <strong>of</strong> eigenvalues,<br />
concurrence, purity, minimum eigenvalue λ min etc.<br />
[Lubkin (’78), Zyczkowski & Sommers (2001, 2004), Cappellini,<br />
Sommers and Zyczkowski (2006), Giraud (2007), Znidaric (2007), S.M.,<br />
Bohigas and Lakshminarayan (2008), Kubotini, Adachi and Toda (2008),<br />
Chen, Liu and Zhou (2010), Vivo (2010), ...]<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
<strong>Random</strong> <strong>Pure</strong> <strong>State</strong>: Well Studied<br />
• Average von Neumann entropy: 〈S VN 〉 → ln N − N<br />
2M for M ∼ N ≫ 1<br />
−→ Near Maximal<br />
[Lubkin (’78), Page (’93), Foong and Kanno (’94), Sánchez-Ruiz (’95),<br />
Sen (’96)]<br />
• statistics <strong>of</strong> observables such as average density <strong>of</strong> eigenvalues,<br />
concurrence, purity, minimum eigenvalue λ min etc.<br />
[Lubkin (’78), Zyczkowski & Sommers (2001, 2004), Cappellini,<br />
Sommers and Zyczkowski (2006), Giraud (2007), Znidaric (2007), S.M.,<br />
Bohigas and Lakshminarayan (2008), Kubotini, Adachi and Toda (2008),<br />
Chen, Liu and Zhou (2010), Vivo (2010), ...]<br />
• Laplace transform <strong>of</strong> the purity (q = 2) distribution for large N [Facchi<br />
et. al. (2008, 2010)]<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Results: <strong>Entropy</strong> Distribution<br />
• Scaling for large N: λ typ ∼ 1 N as ∑ N<br />
i=1 λ i = 1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Results: <strong>Entropy</strong> Distribution<br />
• Scaling for large N: λ typ ∼ 1 N as ∑ N<br />
i=1 λ i = 1<br />
Renyi entropy:<br />
S q = 1<br />
1−q ln [Σ q] with Σ q = ∑ N<br />
i=1 λq i<br />
, q > 1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Results: <strong>Entropy</strong> Distribution<br />
• Scaling for large N: λ typ ∼ 1 N as ∑ N<br />
i=1 λ i = 1<br />
Renyi entropy:<br />
S q = 1<br />
1−q ln [Σ q] with Σ q = ∑ N<br />
i=1 λq i<br />
, q > 1<br />
Σ q = N 1−q s for large N −→ S q = ln N − ln s<br />
q−1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Results: <strong>Entropy</strong> Distribution<br />
• Scaling for large N: λ typ ∼ 1 N as ∑ N<br />
i=1 λ i = 1<br />
Renyi entropy:<br />
S q = 1<br />
1−q ln [Σ q] with Σ q = ∑ N<br />
i=1 λq i<br />
, q > 1<br />
Σ q = N 1−q s for large N −→ S q = ln N − ln s<br />
q−1<br />
(i) Unentangled<br />
S q = 0 is minimal<br />
Σ q = 1 (or s → ∞)<br />
(ii) Maximally entangled<br />
S q = ln N is maximal<br />
Σ q = N 1−q (or s = 1)<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Results: <strong>Entropy</strong> Distribution<br />
• Scaling for large N: λ typ ∼ 1 N as ∑ N<br />
i=1 λ i = 1<br />
Renyi entropy:<br />
S q = 1<br />
1−q ln [Σ q] with Σ q = ∑ N<br />
i=1 λq i<br />
, q > 1<br />
Σ q = N 1−q s for large N −→ S q = ln N − ln s<br />
q−1<br />
(i) Unentangled<br />
S q = 0 is minimal<br />
Σ q = 1 (or s → ∞)<br />
(ii) Maximally entangled<br />
S q = ln N is maximal<br />
Σ q = N 1−q (or s = 1)<br />
• Average entropy for large N:<br />
〈Σ q 〉 ≈ N 1−q ¯s(q) → 〈S q 〉 ≈ ln N −<br />
ln ¯s(q)<br />
q−1<br />
where ¯s(q) = Γ(q+1/2) √ πΓ(q+2)<br />
4 q<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Results: <strong>Entropy</strong> Distribution<br />
• Scaling for large N: λ typ ∼ 1 N as ∑ N<br />
i=1 λ i = 1<br />
Renyi entropy:<br />
S q = 1<br />
1−q ln [Σ q] with Σ q = ∑ N<br />
i=1 λq i<br />
, q > 1<br />
Σ q = N 1−q s for large N −→ S q = ln N − ln s<br />
q−1<br />
(i) Unentangled<br />
S q = 0 is minimal<br />
Σ q = 1 (or s → ∞)<br />
(ii) Maximally entangled<br />
S q = ln N is maximal<br />
Σ q = N 1−q (or s = 1)<br />
• Average entropy for large N:<br />
〈Σ q 〉 ≈ N 1−q ¯s(q) → 〈S q 〉 ≈ ln N −<br />
ln ¯s(q)<br />
q−1<br />
where ¯s(q) = Γ(q+1/2) √ πΓ(q+2)<br />
4 q<br />
For q = 2, 〈Σ 2 〉 ≈ 2 N (purity); For q → 1, 〈S VN〉 ≈ ln N − 1 2<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Results: pdf <strong>of</strong> Σ q = ∑ i λq i<br />
⎧<br />
P ( Σ q = N 1−q s ) ⎪⎨<br />
≈<br />
⎪⎩<br />
exp { −βN 2 Φ I (s) }<br />
exp { −βN 2 Φ II (s) }<br />
{<br />
exp −βN 1+ 1 q<br />
}<br />
ΨIII (s)<br />
for 1 ≤ s < s 1 (q)<br />
for s 1 (q) < s < s 2 (q)<br />
for s > s 2 (q)<br />
P ( Σ q = N 1−q s )<br />
¯s(q)<br />
(a)<br />
− ln [ P ( Σ q = N 1−q s )]<br />
(b)<br />
I II III<br />
I II III<br />
1 s 1 (q) s 2 (q)<br />
max. entangled ←− unentangled<br />
s<br />
1s 1 (q)<br />
¯s(q)<br />
s 2 (q)<br />
s<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Computation <strong>of</strong> the pdf <strong>of</strong> Σ q : Coulomb gas method<br />
• PDF <strong>of</strong> Σ q = ∑ i λq i<br />
∫<br />
( ) ( )<br />
∑ ∏<br />
P(Σ q , N) = P(λ 1 , ..., λ N ) δ λ q i<br />
− Σ q dλ i .<br />
i<br />
i<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Computation <strong>of</strong> the pdf <strong>of</strong> Σ q : Coulomb gas method<br />
• PDF <strong>of</strong> Σ q = ∑ i λq i<br />
∫<br />
( ) ( )<br />
∑ ∏<br />
P(Σ q , N) = P(λ 1 , ..., λ N ) δ λ q i<br />
− Σ q dλ i .<br />
i<br />
i<br />
• The joint pdf <strong>of</strong> the eigenvalues can be interpreted as a Boltzmann<br />
weight at inverse temperature β:<br />
P(λ 1 , ..., λ N ) ∝ δ ( ∑<br />
λ i − 1 )<br />
i<br />
N ∏<br />
i=1<br />
∝ exp {−βE [{λ i }]}<br />
λ β 2 (M−N+1)−1<br />
i<br />
∏<br />
|λ i − λ j | β<br />
i
Charge Density and Effective Energy<br />
E{λ i } = −γ<br />
N∑<br />
ln λ i − ∑ ln |λ i − λ j | with ∑ λ i = 1<br />
i
Charge Density and Effective Energy<br />
E{λ i } = −γ<br />
N∑<br />
ln λ i − ∑ ln |λ i − λ j | with ∑ λ i = 1<br />
i
Charge Density and Effective Energy<br />
E{λ i } = −γ<br />
N∑<br />
ln λ i − ∑ ln |λ i − λ j | with ∑<br />
i
Saddle Point Solution<br />
∫ ∞ ∫ ∞<br />
E s [ρ]=− 1 (∫ ∞<br />
dxdx ′ ρ(x)ρ(x ′ ) ln |x − x ′ | + µ 0<br />
2 0 0<br />
(∫ ∞<br />
) (∫ ∞<br />
+µ 1 dx x ρ(x) − 1 + µ 2<br />
0<br />
0<br />
)<br />
dx ρ(x) − 1<br />
0<br />
)<br />
dx x q ρ(x) − s<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Saddle Point Solution<br />
∫ ∞ ∫ ∞<br />
E s [ρ]=− 1 (∫ ∞<br />
dxdx ′ ρ(x)ρ(x ′ ) ln |x − x ′ | + µ 0<br />
2 0 0<br />
(∫ ∞<br />
) (∫ ∞<br />
+µ 1 dx x ρ(x) − 1 + µ 2<br />
0<br />
0<br />
)<br />
dx ρ(x) − 1<br />
0<br />
)<br />
dx x q ρ(x) − s<br />
• Saddle point method for large N:<br />
P ( Σ q = N 1−q s, N ) ∫<br />
∝ D [ρ] exp { −βN 2 E s [ρ] } ∝ exp { −βN 2 E s [ρ c ] }<br />
where ρ c minimizes the energy:<br />
δE s<br />
δρ<br />
∣ = 0<br />
ρ=ρc<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Saddle Point Solution<br />
∫ ∞ ∫ ∞<br />
E s [ρ]=− 1 (∫ ∞<br />
dxdx ′ ρ(x)ρ(x ′ ) ln |x − x ′ | + µ 0<br />
2 0 0<br />
(∫ ∞<br />
) (∫ ∞<br />
+µ 1 dx x ρ(x) − 1 + µ 2<br />
0<br />
0<br />
)<br />
dx ρ(x) − 1<br />
0<br />
)<br />
dx x q ρ(x) − s<br />
• Saddle point method for large N:<br />
P ( Σ q = N 1−q s, N ) ∫<br />
∝ D [ρ] exp { −βN 2 E s [ρ] } ∝ exp { −βN 2 E s [ρ c ] }<br />
where ρ c minimizes the energy:<br />
∫ ∞<br />
0<br />
δE s<br />
δρ<br />
∣ = 0 giving<br />
ρ=ρc<br />
dx ′ ρ c (x ′ ) ln |x − x ′ | = µ 0 + µ 1 x + µ 2 x q ≡ V (x)<br />
V (x) → effective potential for the charges.<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Saddle Point Solution<br />
∫ ∞ ∫ ∞<br />
E s [ρ]=− 1 (∫ ∞<br />
dxdx ′ ρ(x)ρ(x ′ ) ln |x − x ′ | + µ 0<br />
2 0 0<br />
(∫ ∞<br />
) (∫ ∞<br />
+µ 1 dx x ρ(x) − 1 + µ 2<br />
0<br />
0<br />
)<br />
dx ρ(x) − 1<br />
0<br />
)<br />
dx x q ρ(x) − s<br />
• Saddle point method for large N:<br />
P ( Σ q = N 1−q s, N ) ∫<br />
∝ D [ρ] exp { −βN 2 E s [ρ] } ∝ exp { −βN 2 E s [ρ c ] }<br />
where ρ c minimizes the energy:<br />
∫ ∞<br />
0<br />
δE s<br />
δρ<br />
∣ = 0 giving<br />
ρ=ρc<br />
dx ′ ρ c (x ′ ) ln |x − x ′ | = µ 0 + µ 1 x + µ 2 x q ≡ V (x)<br />
V (x) → effective potential for the charges.<br />
• Taking derivative with respect to x gives<br />
P<br />
∫ ∞<br />
0<br />
dx ′ ρ c(x ′ )<br />
x − x ′ = µ 1 + q µ 2 x q−1 = V ′ (x)<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Steps for Computing the PDF <strong>of</strong> Σ q<br />
(i) find the solution ρ c (x) <strong>of</strong> the integral equation<br />
P<br />
∫ ∞<br />
0<br />
dx ′ ρ c(x ′ )<br />
x − x ′ = µ 1 + q µ 2 x q−1 = V ′ (x)<br />
Tricomi’s solution: density ρ c (x) with finite support [L 1 , L 2 ]:<br />
[ ∫<br />
1<br />
L2<br />
√ √ ]<br />
ρ c (x) =<br />
π √ dy y − L1 L2 − y<br />
√ C − P<br />
V ′ (y) ,<br />
x − L 1 L2 − x<br />
π x − y<br />
where C = ∫ L 2<br />
L 1<br />
dx ρ c (x) is a constant<br />
L 1<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Steps for Computing the PDF <strong>of</strong> Σ q<br />
(i) find the solution ρ c (x) <strong>of</strong> the integral equation<br />
P<br />
∫ ∞<br />
0<br />
dx ′ ρ c(x ′ )<br />
x − x ′ = µ 1 + q µ 2 x q−1 = V ′ (x)<br />
Tricomi’s solution: density ρ c (x) with finite support [L 1 , L 2 ]:<br />
[ ∫<br />
1<br />
L2<br />
√ √ ]<br />
ρ c (x) =<br />
π √ dy y − L1 L2 − y<br />
√ C − P<br />
V ′ (y) ,<br />
x − L 1 L2 − x<br />
π x − y<br />
where C = ∫ L 2<br />
L 1<br />
dx ρ c (x) is a constant<br />
(ii) for a given s, the unknown Lagrange multipliers µ 0 , µ 1 and µ 2 are<br />
fixed by the three conditions:<br />
∫ ∞<br />
0<br />
ρ c (x) dx = 1 ,<br />
∫ ∞<br />
0<br />
L 1<br />
x ρ c (x) dx = 1 and<br />
∫ ∞<br />
0<br />
x q ρ c (x) dx = s<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Steps for Computing the PDF <strong>of</strong> Σ q<br />
(i) find the solution ρ c (x) <strong>of</strong> the integral equation<br />
P<br />
∫ ∞<br />
0<br />
dx ′ ρ c(x ′ )<br />
x − x ′ = µ 1 + q µ 2 x q−1 = V ′ (x)<br />
Tricomi’s solution: density ρ c (x) with finite support [L 1 , L 2 ]:<br />
[ ∫<br />
1<br />
L2<br />
√ √ ]<br />
ρ c (x) =<br />
π √ dy y − L1 L2 − y<br />
√ C − P<br />
V ′ (y) ,<br />
x − L 1 L2 − x<br />
π x − y<br />
where C = ∫ L 2<br />
L 1<br />
dx ρ c (x) is a constant<br />
(ii) for a given s, the unknown Lagrange multipliers µ 0 , µ 1 and µ 2 are<br />
fixed by the three conditions:<br />
∫ ∞<br />
0<br />
ρ c (x) dx = 1 ,<br />
∫ ∞<br />
0<br />
L 1<br />
x ρ c (x) dx = 1 and<br />
(iii) evaluate the saddle point energy E s [ρ c ]<br />
∫ ∞<br />
0<br />
x q ρ c (x) dx = s<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Phase Transitions<br />
Regime I:<br />
1 < s < s 1<br />
(s 1 (q = 2) = 5/4 )<br />
Regime II:<br />
s 1 < s < s 2<br />
(s 2 (q = 2) = 2 + 24/3<br />
N 1/3 )<br />
V (x) V (x) V (x)<br />
Regime III:<br />
s > s 2<br />
(weakly entangled)<br />
I II III<br />
0<br />
x ∗ x 0 x 0<br />
x<br />
(a) (b) (c)<br />
ρ c (λ, N) ρ c (λ, N) ρ c (λ, N)<br />
I II III<br />
L 1 /N L 2 /N<br />
λ<br />
λ<br />
λ<br />
0 L/N 0 ζ t<br />
S.N. Majumdar Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
q = 2 : Purity<br />
• Regime I: 1 < s < 5/4 √<br />
L2 − x √ x − L 1<br />
ρ c (x) =<br />
,<br />
2π (s − 1)<br />
P<br />
(Σ 2 = s )<br />
N , N ∝ e −βN2 Φ I (s) , Φ I (s) = − 1 4 ln (s − 1) − 1 8<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
q = 2 : Purity<br />
• Regime I: 1 < s < 5/4 √<br />
L2 − x √ x − L 1<br />
ρ c (x) =<br />
,<br />
2π (s − 1)<br />
P<br />
(Σ 2 = s )<br />
N , N ∝ e −βN2 Φ I (s) , Φ I (s) = − 1 4 ln (s − 1) − 1 8<br />
• Regime II: 5/4 < s < 2 + 24/3<br />
N 1/3<br />
ρ c (x) = 1 √<br />
L − x<br />
(<br />
(A + B x) with L = 2 3 − √ )<br />
9 − 4s<br />
π x<br />
P<br />
(Σ 2 = s )<br />
N , N ∝ e −βN2 Φ II (s) , Φ II (s) = − 1 ( ) L<br />
2 ln + 6 4 L 2 − 5 L + 7 8<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
q = 2 : Purity<br />
• Regime I: 1 < s < 5/4 √<br />
L2 − x √ x − L 1<br />
ρ c (x) =<br />
,<br />
2π (s − 1)<br />
P<br />
(Σ 2 = s )<br />
N , N ∝ e −βN2 Φ I (s) , Φ I (s) = − 1 4 ln (s − 1) − 1 8<br />
• Regime II: 5/4 < s < 2 + 24/3<br />
N 1/3<br />
ρ c (x) = 1 √<br />
L − x<br />
(<br />
(A + B x) with L = 2 3 − √ )<br />
9 − 4s<br />
π x<br />
P<br />
(Σ 2 = s )<br />
N , N ∝ e −βN2 Φ II (s) , Φ II (s) = − 1 ( ) L<br />
2 ln + 6 4 L 2 − 5 L + 7 8<br />
• Regime III: s > 2 + 24/3 Continuous density with support [0, ζ] with<br />
N 1/3<br />
ζ ≈ 4 N and separated λ max ≫ ζ: λ max = t ≈ √ √<br />
s−2<br />
N<br />
P<br />
(Σ 2 = s )<br />
N , N ≈ e −βN 3 2 Ψ III (s)<br />
, Ψ III (s) =<br />
√ s − 2<br />
2<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Numerical simulations<br />
Monte Carlo Simulations (non-standard Metropolis algorithm):<br />
pdf <strong>of</strong> Σ 2 (purity) for N = 1000 (second phase transition)<br />
− ln P (Σ 2 = s N )<br />
0.008<br />
βN 2<br />
0.006<br />
0.004<br />
Φ III = Ψ III √<br />
N<br />
0.002<br />
Φ II<br />
0.000<br />
2.0 2.1 2.2 2.3 2.4 2.5<br />
¯s(2) s 2 (2)<br />
S.N. Majumdar Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong><br />
s
Numerical Simulations (2)<br />
Jump <strong>of</strong> the maximal eigenvalue (rightmost charge) at s = s 2 for q = 2<br />
and different values <strong>of</strong> N<br />
N t = N λ max<br />
for Σ 2 = s N<br />
20<br />
15<br />
N = 1000<br />
N = 500<br />
10<br />
5<br />
N = 50<br />
0<br />
2.0 2.1 2.2 2.3 2.4 2.5<br />
¯s s 2<br />
(N = 1000)<br />
s2<br />
(N = 500)<br />
S.N. Majumdar<br />
s<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
The limit q → 1 — von Neumann <strong>Entropy</strong><br />
S VN = S q→1 = − ∑ N<br />
i=1 λ i ln(λ i ) = ln(N) − z<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
The limit q → 1 — von Neumann <strong>Entropy</strong><br />
00 11<br />
00 11<br />
00 11<br />
z<br />
01 01<br />
01<br />
01<br />
S VN = S q→1 = − ∑ N<br />
i=1 λ i ln(λ i ) = ln(N) − z<br />
⎧<br />
exp { −βN 2 φ I (z) } for 0 ≤ z < z 1 = 2 3 − ln ( 3<br />
2)<br />
= 0.26.<br />
⎪⎨<br />
(S VN = ln(N) − z) ≈ exp { −βN 2 φ II (z) } for 0.26.. < z < z 2 = 1/2<br />
{<br />
}<br />
⎪⎩ exp −β N2<br />
ln(N) φ III (z) for z > z 2 = 1/2<br />
P(S VN<br />
= ln(N)−z)<br />
z=0<br />
II<br />
I<br />
maximally entangled<br />
z 1<br />
=0.26..<br />
III<br />
2<br />
= 0.5<br />
z<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
The limit q → ∞ — Maximal eigenvalue<br />
• S q→∞ = − ln (λ max )<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
The limit q → ∞ — Maximal eigenvalue<br />
• S q→∞ = − ln (λ max )<br />
(<br />
P λ max = t )<br />
≈<br />
N<br />
⎧<br />
⎪⎨<br />
⎪⎩<br />
exp { −βN 2 χ I (t) } for 1 ≤ t < t 1 = 4 3<br />
exp { −βN 2 χ II (t) } for 4 3 < t < t 2 = 4<br />
exp {−βN χ III (t)} for t > t 2 = 4<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
The limit q → ∞ — Maximal eigenvalue<br />
• S q→∞ = − ln (λ max )<br />
(<br />
P λ max = t )<br />
≈<br />
N<br />
⎧<br />
⎪⎨<br />
⎪⎩<br />
exp { −βN 2 χ I (t) } for 1 ≤ t < t 1 = 4 3<br />
exp { −βN 2 χ II (t) } for 4 3 < t < t 2 = 4<br />
exp {−βN χ III (t)} for t > t 2 = 4<br />
• Around its mean, 〈λ max 〉 = 4/N, the typical fluctuations<br />
(∼ O(N −5/3 )) are described by the Tracy-Widom distribution<br />
λ max = 4 N + 24/3 N −5/3 Y β<br />
Y β → random variable distributed via Tracy-Widom law<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
The limit q → ∞ — Maximal eigenvalue<br />
• S q→∞ = − ln (λ max )<br />
(<br />
P λ max = t )<br />
≈<br />
N<br />
⎧<br />
⎪⎨<br />
⎪⎩<br />
exp { −βN 2 χ I (t) } for 1 ≤ t < t 1 = 4 3<br />
exp { −βN 2 χ II (t) } for 4 3 < t < t 2 = 4<br />
exp {−βN χ III (t)} for t > t 2 = 4<br />
• Around its mean, 〈λ max 〉 = 4/N, the typical fluctuations<br />
(∼ O(N −5/3 )) are described by the Tracy-Widom distribution<br />
λ max = 4 N + 24/3 N −5/3 Y β<br />
Y β → random variable distributed via Tracy-Widom law<br />
• For finite N and M, see P. Vivo (2011)<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Summary and Conclusions<br />
• Exact distribution <strong>of</strong> the Renyi entanglement entropy S q for a<br />
random pure state in a large bipartite quantum system (M ∼ N ≫ 1)<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Summary and Conclusions<br />
• Exact distribution <strong>of</strong> the Renyi entanglement entropy S q for a<br />
random pure state in a large bipartite quantum system (M ∼ N ≫ 1)<br />
• Coulomb gas method → saddle point solution<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Summary and Conclusions<br />
• Exact distribution <strong>of</strong> the Renyi entanglement entropy S q for a<br />
random pure state in a large bipartite quantum system (M ∼ N ≫ 1)<br />
• Coulomb gas method → saddle point solution<br />
• 2 critical points → direct consequence <strong>of</strong> 2 phase transitions in the<br />
associated Coulomb gas<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Summary and Conclusions<br />
• Exact distribution <strong>of</strong> the Renyi entanglement entropy S q for a<br />
random pure state in a large bipartite quantum system (M ∼ N ≫ 1)<br />
• Coulomb gas method → saddle point solution<br />
• 2 critical points → direct consequence <strong>of</strong> 2 phase transitions in the<br />
associated Coulomb gas<br />
• at the second critical point: λ max suddenly jumps to a value<br />
∼ N −(1−1/q) much larger than the other λ i ∼ 1/N<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Summary and Conclusions<br />
• Exact distribution <strong>of</strong> the Renyi entanglement entropy S q for a<br />
random pure state in a large bipartite quantum system (M ∼ N ≫ 1)<br />
• Coulomb gas method → saddle point solution<br />
• 2 critical points → direct consequence <strong>of</strong> 2 phase transitions in the<br />
associated Coulomb gas<br />
• at the second critical point: λ max suddenly jumps to a value<br />
∼ N −(1−1/q) much larger than the other λ i ∼ 1/N<br />
• While the average entropy <strong>of</strong> a random pure state is indeed close to its<br />
maximal value ln N, the probability <strong>of</strong> occurrence <strong>of</strong> the maximally<br />
entangled state (all λ i = 1/N) is actually very small.<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
Summary and Conclusions<br />
• Exact distribution <strong>of</strong> the Renyi entanglement entropy S q for a<br />
random pure state in a large bipartite quantum system (M ∼ N ≫ 1)<br />
• Coulomb gas method → saddle point solution<br />
• 2 critical points → direct consequence <strong>of</strong> 2 phase transitions in the<br />
associated Coulomb gas<br />
• at the second critical point: λ max suddenly jumps to a value<br />
∼ N −(1−1/q) much larger than the other λ i ∼ 1/N<br />
• While the average entropy <strong>of</strong> a random pure state is indeed close to its<br />
maximal value ln N, the probability <strong>of</strong> occurrence <strong>of</strong> the maximally<br />
entangled state (all λ i = 1/N) is actually very small.<br />
Work in progress (C. Nadal, S.M with C. Pineda and T. Seligman)<br />
Distribution <strong>of</strong> entropy for N finite but M ≫ N (large environment)?<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>
References<br />
On the large N distribution <strong>of</strong> the Renyi entropy:<br />
• C. Nadal, S.M. and M. Vergassola, Phys. Rev. Lett. 104, 110501<br />
(2010)<br />
• long version: J. Stat. Phys. 142, 403 (2011)<br />
On the distribution <strong>of</strong> the minumum Schmidt number λ min :<br />
• S.M., O. Bohigas and A. Lakshminarayan, J. Stat. Phys. 131, 33<br />
(2008)<br />
• see also S.M. in “ Handbook <strong>of</strong> <strong>Random</strong> Matrix Theory” (ed. by G.<br />
Akemann, J. Baik and P. Di Francesco and forwarded by F.J. Dyson)<br />
(Oxford Univ. Press, 2011) (arXiv:1005.4515)<br />
S.N. Majumdar<br />
Distribution <strong>of</strong> Bipartite <strong>Entanglement</strong> <strong>of</strong> a <strong>Random</strong> <strong>Pure</strong> <strong>State</strong>