Multipartite entanglement detection via projective tensor norms
Based on joint work with Maria Anastasia Jivulescu and Ion Nechita, available at arXiv:2010.06365
Cécilia Lancien
Institut Fourier Grenoble & CNRS
Workshop GOQI, MFO – October 7 2021
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 1
Motivations
A stateρonCd1⊗ · · · ⊗Cdmis calledseparableif it is a convex combination of product states:
positive semidefinite operator with trace 1 onCd1⊗ · · · ⊗Cdm
ρ=
r
∑
k=1
λkρk1⊗ · · · ⊗ρkm,with (
λk>0,16k6r,∑rk=1λk=1 ρki state onCdi,16k6r,16i6m . Otherwise it is calledentangled.
[Note: Ifρis a pure state, i.e.ρ=|ϕihϕ|for some unit vectorϕ∈Cd1⊗ · · · ⊗Cdm, thenρis separable iffϕ=ϕ1⊗ · · · ⊗ϕmfor some unit vectorsϕi∈Cdi, 16i6m.]
−→If a quantum system is in a separable state, there is no intrinsically quantum correlation between its subsystems. It thus does not provide any advantage over a classical system in information processing tasks.
Known:The problem of deciding whether a given multipartite quantum state is entangled or separable (and even just approximate versions of it) is computationally hard(Gharibian).
−→Solution in practice: Look for necessary conditions to separability, which are easier to check than separability itself, akaentanglement criteria.
Our goal:Design and study a class of entanglement criteria, based on the idea of applyinglocal contractionsto an input multipartite state and computing a suitabletensor normof the output.
Motivations
A stateρonCd1⊗ · · · ⊗Cdmis calledseparableif it is a convex combination of product states:
positive semidefinite operator with trace 1 onCd1⊗ · · · ⊗Cdm
ρ=
r
∑
k=1
λkρk1⊗ · · · ⊗ρkm,with (
λk>0,16k6r,∑rk=1λk=1 ρki state onCdi,16k6r,16i6m . Otherwise it is calledentangled.
[Note: Ifρis a pure state, i.e.ρ=|ϕihϕ|for some unit vectorϕ∈Cd1⊗ · · · ⊗Cdm, thenρis separable iffϕ=ϕ1⊗ · · · ⊗ϕmfor some unit vectorsϕi∈Cdi, 16i6m.]
−→If a quantum system is in a separable state, there is no intrinsically quantum correlation between its subsystems. It thus does not provide any advantage over a classical system in information processing tasks.
Known:The problem of deciding whether a given multipartite quantum state is entangled or separable (and even just approximate versions of it) is computationally hard(Gharibian).
−→Solution in practice: Look for necessary conditions to separability, which are easier to check than separability itself, akaentanglement criteria.
Our goal:Design and study a class of entanglement criteria, based on the idea of applyinglocal contractionsto an input multipartite state and computing a suitabletensor normof the output.
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 2
Motivations
A stateρonCd1⊗ · · · ⊗Cdmis calledseparableif it is a convex combination of product states:
positive semidefinite operator with trace 1 onCd1⊗ · · · ⊗Cdm
ρ=
r
∑
k=1
λkρk1⊗ · · · ⊗ρkm,with (
λk>0,16k6r,∑rk=1λk=1 ρki state onCdi,16k6r,16i6m . Otherwise it is calledentangled.
[Note: Ifρis a pure state, i.e.ρ=|ϕihϕ|for some unit vectorϕ∈Cd1⊗ · · · ⊗Cdm, thenρis separable iffϕ=ϕ1⊗ · · · ⊗ϕmfor some unit vectorsϕi∈Cdi, 16i6m.]
−→If a quantum system is in a separable state, there is no intrinsically quantum correlation between its subsystems. It thus does not provide any advantage over a classical system in information processing tasks.
Known:The problem of deciding whether a given multipartite quantum state is entangled or separable (and even just approximate versions of it) is computationally hard(Gharibian).
−→Solution in practice: Look for necessary conditions to separability, which are easier to check than separability itself, akaentanglement criteria.
Our goal:Design and study a class of entanglement criteria, based on the idea of applyinglocal contractionsto an input multipartite state and computing a suitabletensor normof the output.
Motivations
A stateρonCd1⊗ · · · ⊗Cdmis calledseparableif it is a convex combination of product states:
positive semidefinite operator with trace 1 onCd1⊗ · · · ⊗Cdm
ρ=
r
∑
k=1
λkρk1⊗ · · · ⊗ρkm,with (
λk>0,16k6r,∑rk=1λk=1 ρki state onCdi,16k6r,16i6m . Otherwise it is calledentangled.
[Note: Ifρis a pure state, i.e.ρ=|ϕihϕ|for some unit vectorϕ∈Cd1⊗ · · · ⊗Cdm, thenρis separable iffϕ=ϕ1⊗ · · · ⊗ϕmfor some unit vectorsϕi∈Cdi, 16i6m.]
−→If a quantum system is in a separable state, there is no intrinsically quantum correlation between its subsystems. It thus does not provide any advantage over a classical system in information processing tasks.
Known:The problem of deciding whether a given multipartite quantum state is entangled or separable (and even just approximate versions of it) is computationally hard(Gharibian).
−→Solution in practice: Look for necessary conditions to separability, which are easier to check than separability itself, akaentanglement criteria.
Our goal:Design and study a class of entanglement criteria, based on the idea of applyinglocal contractionsto an input multipartite state and computing a suitabletensor normof the output.
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 2
Plan
1 Tensor norms and entanglement
2 Detecting entanglement with testers: definitions and first examples
3 Entanglement testers in the bipartite setting
4 Entanglement testers in the multipartite setting
Tensor norms in Banach spaces
LetA1, . . . ,Ambe Banach spaces. Givenx∈A1⊗ · · · ⊗Am, itsprojective tensor normis kxkA1⊗π···⊗πAm:= inf
( r
∑
k=1
|αk|:aki ∈Ai,kakikAi 61,x=
r
∑
k=1
αkak1⊗ · · · ⊗akm,r∈N )
,
and itsinjective tensor normis kxkA1⊗ε···⊗εAm:= sup
|hb1⊗ · · · ⊗bm|xi|:bi∈A∗i,kbikA∗i 61 .
These norms are dual to one another: for allx∈A1⊗ · · · ⊗Am, kxkA1⊗π···⊗πAm= sup
|hy|xi|:kykA∗
1⊗ε···⊗εA∗m61 , kxkA1⊗ε···⊗εAm= sup
|hy|xi|:kykA∗1⊗π···⊗πA∗m61 .
The projective and injective norms are examples oftensor norms: for alla1∈A1, . . . ,am∈Am, ka1⊗ · · · ⊗amkA1⊗π···⊗πAm=ka1⊗ · · · ⊗amkA1⊗ε···⊗εAm=ka1kA1· · · kamkAm. And they are extremal among such norms: for any other tensor normk · konA1⊗ · · · ⊗Am,
k · kA1⊗ε···⊗εAm6k · k6k · kA1⊗π···⊗πAm.
Note: The unit ball fork · kA1⊗π···⊗πAmisconv{a1⊗ · · · ⊗am:ai∈Ai,kaikAi 61}.
projective tensor productof the unit balls fork · kAi
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 4
Tensor norms in Banach spaces
LetA1, . . . ,Ambe Banach spaces. Givenx∈A1⊗ · · · ⊗Am, itsprojective tensor normis kxkA1⊗π···⊗πAm:= inf
( r
∑
k=1
|αk|:aki ∈Ai,kakikAi 61,x=
r
∑
k=1
αkak1⊗ · · · ⊗akm,r∈N )
,
and itsinjective tensor normis kxkA1⊗ε···⊗εAm:= sup
|hb1⊗ · · · ⊗bm|xi|:bi∈A∗i,kbikA∗i 61 . These norms are dual to one another: for allx∈A1⊗ · · · ⊗Am,
kxkA1⊗π···⊗πAm= sup
|hy|xi|:kykA∗
1⊗ε···⊗εA∗m61 , kxkA1⊗ε···⊗εAm= sup
|hy|xi|:kykA∗1⊗π···⊗πA∗m61 .
The projective and injective norms are examples oftensor norms: for alla1∈A1, . . . ,am∈Am, ka1⊗ · · · ⊗amkA1⊗π···⊗πAm=ka1⊗ · · · ⊗amkA1⊗ε···⊗εAm=ka1kA1· · · kamkAm. And they are extremal among such norms: for any other tensor normk · konA1⊗ · · · ⊗Am,
k · kA1⊗ε···⊗εAm6k · k6k · kA1⊗π···⊗πAm.
Note: The unit ball fork · kA1⊗π···⊗πAmisconv{a1⊗ · · · ⊗am:ai∈Ai,kaikAi 61}.
projective tensor productof the unit balls fork · kAi
Tensor norms in Banach spaces
LetA1, . . . ,Ambe Banach spaces. Givenx∈A1⊗ · · · ⊗Am, itsprojective tensor normis kxkA1⊗π···⊗πAm:= inf
( r
∑
k=1
|αk|:aki ∈Ai,kakikAi 61,x=
r
∑
k=1
αkak1⊗ · · · ⊗akm,r∈N )
,
and itsinjective tensor normis kxkA1⊗ε···⊗εAm:= sup
|hb1⊗ · · · ⊗bm|xi|:bi∈A∗i,kbikA∗i 61 . These norms are dual to one another: for allx∈A1⊗ · · · ⊗Am,
kxkA1⊗π···⊗πAm= sup
|hy|xi|:kykA∗
1⊗ε···⊗εA∗m61 , kxkA1⊗ε···⊗εAm= sup
|hy|xi|:kykA∗1⊗π···⊗πA∗m61 .
The projective and injective norms are examples oftensor norms: for alla1∈A1, . . . ,am∈Am, ka1⊗ · · · ⊗amkA1⊗π···⊗πAm=ka1⊗ · · · ⊗amkA1⊗ε···⊗εAm=ka1kA1· · · kamkAm. And they are extremal among such norms: for any other tensor normk · konA1⊗ · · · ⊗Am,
k · kA1⊗ε···⊗εAm6k · k6k · kA1⊗π···⊗πAm.
Note: The unit ball fork · kA1⊗π···⊗πAmisconv{a1⊗ · · · ⊗am:ai∈Ai,kaikAi 61}.
projective tensor productof the unit balls fork · kAi
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 4
Tensor norms in Banach spaces
LetA1, . . . ,Ambe Banach spaces. Givenx∈A1⊗ · · · ⊗Am, itsprojective tensor normis kxkA1⊗π···⊗πAm:= inf
( r
∑
k=1
|αk|:aki ∈Ai,kakikAi 61,x=
r
∑
k=1
αkak1⊗ · · · ⊗akm,r∈N )
,
and itsinjective tensor normis kxkA1⊗ε···⊗εAm:= sup
|hb1⊗ · · · ⊗bm|xi|:bi∈A∗i,kbikA∗i 61 . These norms are dual to one another: for allx∈A1⊗ · · · ⊗Am,
kxkA1⊗π···⊗πAm= sup
|hy|xi|:kykA∗
1⊗ε···⊗εA∗m61 , kxkA1⊗ε···⊗εAm= sup
|hy|xi|:kykA∗1⊗π···⊗πA∗m61 .
The projective and injective norms are examples oftensor norms: for alla1∈A1, . . . ,am∈Am, ka1⊗ · · · ⊗amkA1⊗π···⊗πAm=ka1⊗ · · · ⊗amkA1⊗ε···⊗εAm=ka1kA1· · · kamkAm. And they are extremal among such norms: for any other tensor normk · konA1⊗ · · · ⊗Am,
k · kA1⊗ε···⊗εAm6k · k6k · kA1⊗π···⊗πAm.
Note: The unit ball fork · kA1⊗π···⊗πAmisconv{a1⊗ · · · ⊗am:ai∈Ai,kaikAi 61}.
projective tensor productof the unit balls fork · kAi
Characterizing entanglement through tensor norms
•Pure state entanglement:
Banach spaces
Cdi,k · k`di 2
, 16i6m.
Notation:∀x∈Cd,kxk`d
2:= ∑dk=1|xk|21/2
vector 2-norm A pure stateϕ∈Cd1⊗ · · · ⊗Cdmis s.t.kϕk`d1···dm
2
=1.
Sincek · k`d1···dm 2
is a tensor norm, this implieskϕk`d1
2⊗ε···⊗ε`dm2 61 andkϕk`d1
2⊗π···⊗π`dm2 >1.
Andϕis separable iffkϕk`d1
2⊗ε···⊗ε`dm2 =kϕk`d1
2⊗π···⊗π`dm2 =1, where kϕk`d1
2⊗ε···⊗ε`dm2 := supn
|hχ1⊗ · · · ⊗χm|ϕi|:χi∈Cdi,kχik`di 2
=1 o
, kϕk`d1
2⊗π···⊗π`dm2 := inf r
∑
k=1
|αk|:φki ∈Cdi,kφkik`di 2
=1,ϕ=
r
∑
k=1
αkφk1⊗ · · · ⊗φkm
.
•Mixed state entanglement: Banach spaces
M
di(C),k · kSdi1
, 16i6m.
Notation:∀X∈
M
d(C),kXkSd1:= Tr|X|
matrix 1-norm A mixed stateρ∈
M
d1(C)⊗ · · · ⊗M
dm(C)is s.t.ρ>0 andkρkSd11···dm
=1. Sincek · kSd1···dm
1
is a tensor norm, this implieskρkSd1
1⊗π···⊗πS1dm >1. Andρis separable iffkρkSd1
1⊗π···⊗πS1dm=1(Rudolph, Pérez-García), where kρkSd1
1 ⊗π···⊗πSdm1 := inf r
∑
k=1
|αk|:τki ∈
M
di(C),kτkikSdi 1=1,ρ= ∑r
k=1
αkτk1⊗ · · · ⊗τkm
.
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 5
Characterizing entanglement through tensor norms
•Pure state entanglement:
Banach spaces
Cdi,k · k`di 2
, 16i6m.
Notation:∀x∈Cd,kxk`d
2:= ∑dk=1|xk|21/2
vector 2-norm A pure stateϕ∈Cd1⊗ · · · ⊗Cdmis s.t.kϕk`d1···dm
2
=1.
Sincek · k`d1···dm 2
is a tensor norm, this implieskϕk`d1
2⊗ε···⊗ε`dm2 61 andkϕk`d1
2⊗π···⊗π`dm2 >1.
Andϕis separable iffkϕk`d1
2⊗ε···⊗ε`dm2 =kϕk`d1
2⊗π···⊗π`dm2 =1, where kϕk`d1
2⊗ε···⊗ε`dm2 := supn
|hχ1⊗ · · · ⊗χm|ϕi|:χi∈Cdi,kχik`di 2
=1 o
, kϕk`d1
2⊗π···⊗π`dm2 := inf r
∑
k=1
|αk|:φki ∈Cdi,kφkik`di 2
=1,ϕ=
r
∑
k=1
αkφk1⊗ · · · ⊗φkm
.
•Mixed state entanglement:
Banach spaces
M
di(C),k · kSdi1
, 16i6m.
Notation:∀X∈
M
d(C),kXkSd1:= Tr|X|
matrix 1-norm A mixed stateρ∈
M
d1(C)⊗ · · · ⊗M
dm(C)is s.t.ρ>0 andkρkSd11···dm
=1.
Sincek · kSd1···dm 1
is a tensor norm, this implieskρkSd1
1⊗π···⊗πS1dm >1.
Andρis separable iffkρkSd1
1⊗π···⊗πS1dm=1(Rudolph, Pérez-García), where kρkSd1
1 ⊗π···⊗πSdm1 := inf r
∑
k=1
|αk|:τki ∈
M
di(C),kτkikSdi 1=1,ρ= ∑r
k=1
αkτk1⊗ · · · ⊗τkm
.
Quantifying entanglement through tensor norms (1)
Ifkϕk`d1
2⊗ε···⊗ε`dm2 1 orkϕk`d1
2⊗π···⊗π`dm2 1, thenϕis ‘very’ entangled.
IfkρkSd1
1 ⊗π···⊗πSdm1 1, thenρis ‘very’ entangled.
Question:Can this be made quantitative?
Definition [Geometric measure of entanglement(Shimony, Wei/Goldbart, Zhu/Chen/Hayashi)] G(ϕ) :=−log sup
n
| hχ1⊗ · · · ⊗χm|ϕi |2:χi∈Cdi,kχik`di 2
=1 o
=−2logkϕk`d1
2⊗ε···⊗ε`dm2 . G(ϕ) =0 iffϕis separable. How large canG(ϕ)be forϕentangled?
Gis afaithful entanglement measurefor pure states
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 6
Quantifying entanglement through tensor norms (1)
Ifkϕk`d1
2⊗ε···⊗ε`dm2 1 orkϕk`d1
2⊗π···⊗π`dm2 1, thenϕis ‘very’ entangled.
IfkρkSd1
1 ⊗π···⊗πSdm1 1, thenρis ‘very’ entangled.
Question:Can this be made quantitative?
Definition [Geometric measure of entanglement(Shimony, Wei/Goldbart, Zhu/Chen/Hayashi)] G(ϕ) :=−log supn
| hχ1⊗ · · · ⊗χm|ϕi |2:χi∈Cdi,kχik`di 2
=1o
=−2logkϕk`d1
2⊗ε···⊗ε`dm2 . G(ϕ) =0 iffϕis separable. How large canG(ϕ)be forϕentangled?
Gis afaithful entanglement measurefor pure states
Quantifying entanglement through tensor norms (2)
Observation:`d2⊗ε`d2≡Sd∞and`d2⊗π`d2≡S1d.
Indeed, identifying|xi=∑dk,l=1xkl|kli ∈Cd⊗Cd withX=∑dk,l=1xkl|kihl| ∈
M
d(C), the Schmidt decompositionofxcorresponds to thesingular value decompositionofX:|xi=
r
∑
k=1
p
λk|ekfki ←→X=
r
∑
k=1
p
λk|ekihfk|,withr6dand (
λk>0,16k6r
{ek}rk=1,{fk}rk=1o.n.f. inCd . This identification preserves the Euclidean norm:kxk`d2
2
= (∑rk=1λk)1/2=kXkSd
2. Whilekxk`d
2⊗ε`d2= max16k6r√
λk=kXkSd
∞andkxk`d
2⊗π`d2=∑rk=1
√
λk=kXkSd
1.
−→Ifkxk`d2 2
=1, then√1
d 6kxk`d
2⊗ε`d261 and 16kxk`d
2⊗π`d26√
d(tight bounds).
More generally:Assume thatd16· · ·6dmand setD:=d1× · · · ×dm−1.
•For any pure stateϕ∈Cd1⊗ · · · ⊗Cdm,kϕk`d1
2⊗ε···⊗ε`dm2 >√1Dandkϕk`d1
2⊗π···⊗π`dm2 6√ D. Proof idea:Recursive argument from bipartite case.
•For any mixed stateρ∈
M
d1(C)⊗ · · · ⊗M
dm(C),kρkSd11⊗π···⊗πS1dm6D. Proof idea:Pure states are extremal andk|ϕihϕ|kSd1
1⊗π···⊗πS1dm=kϕk2
`d21⊗π···⊗π`dm2 .
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 7
Quantifying entanglement through tensor norms (2)
Observation:`d2⊗ε`d2≡Sd∞and`d2⊗π`d2≡S1d.
Indeed, identifying|xi=∑dk,l=1xkl|kli ∈Cd⊗Cd withX=∑dk,l=1xkl|kihl| ∈
M
d(C), the Schmidt decompositionofxcorresponds to thesingular value decompositionofX:|xi=
r
∑
k=1
p
λk|ekfki ←→X=
r
∑
k=1
p
λk|ekihfk|,withr6dand (
λk>0,16k6r
{ek}rk=1,{fk}rk=1o.n.f. inCd . This identification preserves the Euclidean norm:kxk`d2
2
= (∑rk=1λk)1/2=kXkSd
2. Whilekxk`d
2⊗ε`d2= max16k6r√
λk=kXkSd
∞andkxk`d
2⊗π`d2=∑rk=1
√
λk=kXkSd
1.
−→Ifkxk`d2 2
=1, then√1
d 6kxk`d
2⊗ε`d261 and 16kxk`d
2⊗π`d26√
d(tight bounds).
More generally:Assume thatd16· · ·6dmand setD:=d1× · · · ×dm−1.
•For any pure stateϕ∈Cd1⊗ · · · ⊗Cdm,kϕk`d1
2⊗ε···⊗ε`dm2 >√1Dandkϕk`d1
2⊗π···⊗π`dm2 6√ D.
Proof idea:Recursive argument from bipartite case.
•For any mixed stateρ∈
M
d1(C)⊗ · · · ⊗M
dm(C),kρkSd11⊗π···⊗πS1dm6D.
Proof idea:Pure states are extremal andk|ϕihϕ|kSd1
1⊗π···⊗πS1dm=kϕk2
`d21⊗π···⊗π`dm2 .
Plan
1 Tensor norms and entanglement
2 Detecting entanglement with testers: definitions and first examples
3 Entanglement testers in the bipartite setting
4 Entanglement testers in the multipartite setting
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 8
Entanglement testers
LetE1, . . . ,En∈
M
d(C)and let{|1i, . . . ,|ni}be an o.n.b. ofCn. Define:E
:X∈M
d(C)7→n
∑
k=1
Tr(Ek∗X)|ki ∈Cn. If
E
is s.tkE
kSd1→`n2:= max n
k
E
(X)k`n2 :kXkSd1=1 o
=1, we call it an(entanglement) tester.
Observation:LetTE:= ∑n
k=1
Ek⊗Ek∗be thetest operatorassociated to
E
.Then,k
E
kSd1→`n2= maxn
(Tr(TE∗X⊗X∗))1/2:kXkSd 1=1
o .
A tester
E
:M
d(C)→Cn: EE X
Its associated test operatorTE:Cd⊗Cd→Cd⊗Cd:
E E∗
TE =
4 3
2 1
Detecting entanglement with testers
Theorem [Multipartite entanglement criterion based on testers]
Let
E
i:M
di(C)→Cni, 16i6m, be testers. For anyX∈M
d1(C)⊗ · · · ⊗M
dm(C), we have kE
1⊗ · · · ⊗E
m(X)k`n12⊗π···⊗π`nm2 6kXkSd1
1⊗π···⊗πS1dm. Hence, for any stateρonCd1⊗ · · · ⊗Cdm,
k
E
1⊗ · · · ⊗E
m(ρ)k`n12⊗π···⊗π`nm2 >1 =⇒ kρkSd1
1 ⊗π···⊗πSdm1 >1 ⇐⇒ ρentangled. Proof idea:k
E
1⊗ · · · ⊗E
mkSd11⊗π···⊗πS1dm→`n21⊗π···⊗π`nm2 =k
E
1kSd11→`n21· · · k
E
mkSdm1 →`nm2 =1.
factorization property The action of testers
E
i:M
di(C)→Cni, 16i6m,on a stateρ∈
M
d1(C)⊗ · · · ⊗M
dm(C):ρ d1 d1 d2 d2
dm dm E1
E2
Em n1
n2
nm
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 10
Practical interest of tester-based entanglement criteria
Entanglement criterion based on reducing the study of mixed state entanglement (checking if an (Sd1)⊗πmnorm is>1) to that of pure state entanglement (checking if an(`n2)⊗πmnorm is>1).
•Bipartite case:Checking if testers
E
,F
:M
d(C)→Cndetect the entanglement of a stateρ onCd⊗Cdconsists in computing the`n2⊗π`n2norm ofE
⊗F
(ρ)∈Cn⊗Cn, i.e. itsSn1norm if seen as an element ofM
n(C).−→This is much easier than computing theS1d⊗πS1dnorm ofρ.
•Multipartite case:The computation of an(S1d)⊗πmnorm, i.e. of an(`d2⊗π`d2)⊗πm≡(`d2)⊗π2m norm, is reduced to the computation of an(`n2)⊗πmnorm. associativity of⊗π
−→Reduction by a factor 2 of the number of factors (at the cost of potentially increasing the dimension of each of them fromdton>d...)
Practical interest of tester-based entanglement criteria
Entanglement criterion based on reducing the study of mixed state entanglement (checking if an (Sd1)⊗πmnorm is>1) to that of pure state entanglement (checking if an(`n2)⊗πmnorm is>1).
•Bipartite case:Checking if testers
E
,F
:M
d(C)→Cndetect the entanglement of a stateρ onCd⊗Cd consists in computing the`n2⊗π`n2norm ofE
⊗F
(ρ)∈Cn⊗Cn, i.e. itsSn1norm if seen as an element ofM
n(C).−→This is much easier than computing theS1d⊗πS1dnorm ofρ.
•Multipartite case:The computation of an(S1d)⊗πmnorm, i.e. of an(`d2⊗π`d2)⊗πm≡(`d2)⊗π2m norm, is reduced to the computation of an(`n2)⊗πmnorm. associativity of⊗π
−→Reduction by a factor 2 of the number of factors (at the cost of potentially increasing the dimension of each of them fromdton>d...)
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 11
Practical interest of tester-based entanglement criteria
Entanglement criterion based on reducing the study of mixed state entanglement (checking if an (Sd1)⊗πmnorm is>1) to that of pure state entanglement (checking if an(`n2)⊗πmnorm is>1).
•Bipartite case:Checking if testers
E
,F
:M
d(C)→Cndetect the entanglement of a stateρ onCd⊗Cd consists in computing the`n2⊗π`n2norm ofE
⊗F
(ρ)∈Cn⊗Cn, i.e. itsSn1norm if seen as an element ofM
n(C).−→This is much easier than computing theS1d⊗πS1dnorm ofρ.
•Multipartite case:The computation of an(S1d)⊗πmnorm, i.e. of an(`d2⊗π`d2)⊗πm≡(`d2)⊗π2m norm, is reduced to the computation of an(`n2)⊗πmnorm. associativity of⊗π
−→Reduction by a factor 2 of the number of factors (at the cost of potentially increasing the dimension of each of them fromdton>d...)
Important examples of testers
•Maps defined from matrix bases:
Let{G1, . . . ,Gd2}be an o.n.b. of
M
d(C)and define:G
:X∈M
d(C)7→d2
∑
k=1
Tr(G∗kX)|ki ∈Cd2. Clearlyk
G
(X)k`d22
=kXkSd
26kXkSd
1. So
G
is indeed a tester.Example:
R
:X∈M
d(C)7→d
∑
k,k0=1
Tr(R∗kk0X)|kk0i ∈Cd2, whereRkk0:=|kihk0|, 16k,k06d.
Associated test operator:TR=
d
∑
k,k0=1
Rkk0⊗Rkk∗0=
d
∑
k,k0=1
|kihk0| ⊗ |k0ihk|=F.
•Maps defined from vector 2-designs:
Let{|x1i, . . . ,|xd2i}be a symmetric spherical 2-design ofCd, i.e.d12
d2
∑
k=1
|xkihxk|⊗2=d(Id++F1).
SetSk:= qd+1
2d |xkihxk|, 16k6d2, and define:
S
:X∈M
d(C)7→d2
∑
k=1
Tr(Sk∗X)|ki ∈Cd2. We havek
S
(X)k`d22
= 12(|TrX|2
| {z }
6kXk2
Sd1
+ Tr|X|2
| {z }
=kXk2
Sd2
6kXk2
Sd1
)1/2
6kXkSd
1. So
S
is indeed a tester.Associated test operator:TS=
d2
∑
k=1
Sk⊗Sk∗=d+1 2d
d2
∑
k=1
|xkihxk|⊗2=I+F 2 .
Cécilia Lancien Multipartite entanglement detection via projective tensor norms Workshop GOQI, MFO – October 7 2021 12