How far quantum entanglement can substitute to communication?
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I ran into this medium post Beyond Messages: How Quantum Entanglement Could Revolutionize AI Agent Coordination which has an attracting subtitle : "What if AI agents could coordinate without ever sending a message?" . The post does not bring any further references, I wonder how far this can be true. What I am aware of is that quantum Entanglement can reduce communications in some cases. Here is an example taken from Josep Gruzka's book on Quantum Computing, especially the section entitled "[Enta
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How far quantum entanglement can substitute to communication?
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I ran into this medium post Beyond Messages: How Quantum Entanglement Could Revolutionize AI Agent Coordination which has an attracting subtitle : "What if AI agents could coordinate without ever sending a message?".
The post does not bring any further references, I wonder how far this can be true.
What I am aware of is that quantum Entanglement can reduce communications in some cases.
Here is an example taken from Josep Gruzka's book on Quantum Computing, especially the section entitled "[Entanglement] Substituting To Multipartite Communication".
Assume we have
P
1
,…,
P
k
𝑃
1
,
…
,
𝑃
𝑘
parties. Each party
P
j
𝑃
𝑗
holds a string
x
j
𝑥
𝑗
and all parties want to compute a function
f
𝑓
of all strings :
f(
x
1
,…,
x
k
)
𝑓
(
𝑥
1
,
…
,
𝑥
𝑘
)
We assume that
x
j
𝑥
𝑗
are bitstrings encoded on
n
𝑛
bits, then :
x
j
∈{0,1
}
n
or
x
j
∈{0,…,
2
n
−1}
𝑥
𝑗
∈
{
0
,
1
}
𝑛
or
𝑥
𝑗
∈
{
0
,
…
,
2
𝑛
−
1
}
The simplest function
f
𝑓
to be considered is for example the sum :
f(
x
1
,…,
x
k
)=
∑
j=1
k
x
j
𝑓
(
𝑥
1
,
…
,
𝑥
𝑘
)
=
∑
𝑗
=
1
𝑘
𝑥
𝑗
and the goal of parties is to compute the sum and broadcast it between them with as few possible messages as possible.
Here are the following steps with entanglement :
Share a Cat State :
|ψ⟩=
1
2
–
√
[|
0
k
⟩+|
1
k
⟩]
|
𝜓
⟩
=
1
2
[
|
0
𝑘
⟩
+
|
1
𝑘
⟩
]
encoded on
k
𝑘
qubits and each party
P
j
𝑃
𝑗
is given one of the qubits.
Each party
P
j
𝑃
𝑗
achieves a Phase operation :
[I⊗⋯⊗
U
j
⊗⋯⊗I]|ψ⟩=
1
2
–
√
[|
0
k
⟩+
e
2πi
x
j
2
n
|
1
k
⟩]
[
𝐼
⊗
⋯
⊗
𝑈
𝑗
⊗
⋯
⊗
𝐼
]
|
𝜓
⟩
=
1
2
[
|
0
𝑘
⟩
+
𝑒
2
𝜋
𝑖
𝑥
𝑗
2
𝑛
|
1
𝑘
⟩
]
with a phase gate :
U
j
=[
1
0
0
e
2πi
x
j
2
n
]
𝑈
𝑗
=
[
1
0
0
𝑒
2
𝜋
𝑖
𝑥
𝑗
2
𝑛
]
It finally ends up with :
|
ψ
′
⟩=[
U
1
⊗⋯⊗
U
j
⊗⋯⊗
U
k
]|ψ⟩=
=
1
2
–
√
[|
0
k
⟩+exp(
2πi
2
n
∑
j=1
k
x
j
)|
1
k
⟩]
1
2
–
√
[|
0
k
⟩+
e
2πikθ
|
1
k
⟩]
|
𝜓
′
⟩
=
[
𝑈
1
⊗
⋯
⊗
𝑈
𝑗
⊗
⋯
⊗
𝑈
𝑘
]
|
𝜓
⟩
=
1
2
[
|
0
𝑘
⟩
+
exp
(
2
𝜋
𝑖
2
𝑛
∑
𝑗
=
1
𝑘
𝑥
𝑗
)
|
1
𝑘
⟩
]
=
1
2
[
|
0
𝑘
⟩
+
𝑒
2
𝜋
𝑖
𝑘
𝜃
|
1
𝑘
⟩
]
with
θ=
1
k
∑
j=1
k
θ
j
,
θ
j
=
x
j
2
n
∈[0,1]
𝜃
=
1
𝑘
∑
𝑗
=
1
𝑘
𝜃
𝑗
,
𝜃
𝑗
=
𝑥
𝑗
2
𝑛
∈
[
0
,
1
]
and from previous notations we have :
f(
x
1
,…,
x
k
)=kθ
𝑓
(
𝑥
1
,
…
,
𝑥
𝑘
)
=
𝑘
𝜃
Each party performs an Hadamard Gate on its qubit, this results in a "wall" of Hadamard :
|
ψ
′′
⟩=
H
⊗k
|
ψ
′
⟩=
1
2
–
√
[
H
⊗k
|
0
k
⟩+
e
2πikθ
H
⊗k
|
1
k
⟩]
|
𝜓
′
′
⟩
=
𝐻
⊗
𝑘
|
𝜓
′
⟩
=
1
2
[
𝐻
⊗
𝑘
|
0
𝑘
⟩
+
𝑒
2
𝜋
𝑖
𝑘
𝜃
𝐻
⊗
𝑘
|
1
𝑘
⟩
]
which can be further developed into
|
ψ
′′
⟩
=
1
2
k+1
−
−
−
−
√
∑
x=0
2
k
−1
(1+
e
πi(2kθ+
⊕
k−1
j=0
y
j
)
)|y⟩
=[
1+
e
2πikθ
2
(
1
2
k−1
−
−
−
−
√
∑
y∈{0,1
}
k
/
⊕
j
y
j
=0
|y⟩)
+
1−
e
2πikθ
2
(
1
2
k−1
−
−
−
−
√
∑
y∈{0,1
}
k
/
⊕
j
y
j
=1
|y⟩)]
|
𝜓
′
′
⟩
=
1
2
𝑘
+
1
∑
𝑥
=
0
2
𝑘
−
1
(
1
+
𝑒
𝜋
𝑖
(
2
𝑘
𝜃
+
⊕
𝑗
=
0
𝑘
−
1
𝑦
𝑗
)
)
|
𝑦
⟩
=
[
1
+
𝑒
2
𝜋
𝑖
𝑘
𝜃
2
(
1
2
𝑘
−
1
∑
𝑦
∈
{
0
,
1
}
𝑘
/
⊕
𝑗
𝑦
𝑗
=
0
|
𝑦
⟩
)
+
1
−
𝑒
2
𝜋
𝑖
𝑘
𝜃
2
(
1
2
𝑘
−
1
∑
𝑦
∈
{
0
,
1
}
𝑘
/
⊕
𝑗
𝑦
𝑗
=
1
|
𝑦
⟩
)
]
and given that quantum states are defined up to a Global Phase :
|
ψ
′′
⟩=cos(πkθ)(
1
2
k−1
−
−
−
−
√
∑
y∈{0,1
}
k
/
⊕
j
y
j
=0
|y⟩)−isin
(πkθ)(
1
2
k−1
−
−
−
−
√
∑
y∈{0,1
}
k
/
⊕
j
y
j
=1
|y⟩)]
|
𝜓
′
′
⟩
=
cos
(
𝜋
𝑘
𝜃
)
(
1
2
𝑘
−
1
∑
𝑦
∈
{
0
,
1
}
𝑘
/
⊕
𝑗
𝑦
𝑗
=
0
|
𝑦
⟩
)
−
𝑖
sin
(
𝜋
𝑘
𝜃
)
(
1
2
𝑘
−
1
∑
𝑦
∈
{
0
,
1
}
𝑘
/
⊕
𝑗
𝑦
𝑗
=
1
|
𝑦
⟩
)
]
party
P
j
𝑃
𝑗
performs a standard basis
{|0⟩,|1⟩}
{
|
0
⟩
,
|
1
⟩
}
measurement and gets an outcome
b
j
∈{0,1}
𝑏
𝑗
∈
{
0
,
1
}
.
More relevant are the probabilities for events
⊕
j
y
j
=0
⊕
𝑗
𝑦
𝑗
=
0
and
⊕
j
y
j
=1
⊕
𝑗
𝑦
𝑗
=
1
:
Pr[
⊕
j
y
j
=0]=
cos
2
(πkθ),Pr[
⊕
j
y
j
=1]=
sin
2
(πkθ)
Pr
[
⊕
𝑗
𝑦
𝑗
=
0
]
=
cos
2
(
𝜋
𝑘
𝜃
)
,
Pr
[
⊕
𝑗
𝑦
𝑗
=
1
]
=
sin
2
(
𝜋
𝑘
𝜃
)
These steps could also have been taken from the distributed sensing litterature as the problem is nearly the same, except that the data (
x
j
𝑥
𝑗
) encoded on a qubit may come from a quantum sensor.
But no party can retrieve the value of
kθ
𝑘
𝜃
directly from outcomes
{
b
j
}
{
𝑏
𝑗
}
unless
kθ
𝑘
𝜃
is bound to some specific values :
cos
2
(πkθ)=1⇒πkθ=0modπ⇒kθ=0mod1
cos
2
(
𝜋
𝑘
𝜃
)
=
1
⇒
𝜋
𝑘
𝜃
=
0
mod
𝜋
⇒
𝑘
𝜃
=
0
mod
1
or
sin
2
(πkθ)=1⇒πkθ=
π
2
modπ⇒kθ=
1
2
mod1
sin
2
(
𝜋
𝑘
𝜃
)
=
1
⇒
𝜋
𝑘
𝜃
=
𝜋
2
mod
𝜋
⇒
𝑘
𝜃
=
1
2
mod
1
so that if parties broadcast their respective outcomes to other parties, they can directly distinguish whether
f(
x
1
,…,
x
k
)=kθ
𝑓
(
𝑥
1
,
…
,
𝑥
𝑘
)
=
𝑘
𝜃
is either an Integer of a Half-Integer.
The article : Buhrman, Harry and van Dam, Wim and Høyer, Peter and Tapp, Alain (1999) Multiparty quantum communication complexity, Physical Review A. demonstrates with this framework that quantum entanglement reduces communication complexity compared to classical case and also quantum not entangled case, in order to compute function
f
𝑓
out of outcomes, but for a restricted case of function
f
𝑓
.
Do you think that this framework could be extended to allow coordination without ever sending a message ? as claimed by the medium post.
entanglementcommunication-complexity
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edited May 28 at 9:31
asked May 28 at 9:23
deb2014
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Entanglement can reduce communication in some distributed tasks, but it cannot replace communication in the sense suggested by the Medium article.The distinction is between coordination and communication.
If several parties share entanglement in advance, then after receiving local inputs they can perform local measurements and obtain outcomes with correlations that are impossible classically. This is the setting of Bell/CHSH games and quantum communication complexity. In that limited sense, entanglement can help parties “coordinate without messages” during the execution of the protocol.
But entanglement does not allow one party to transmit new information to another. This is the no-signalling theorem. If party (A) chooses a measurement or operation depending on its local input (x_A), party (B)’s local outcome distribution is unchanged. Only the joint distribution of all outcomes contains the nonclassical correlation. To access that joint information, the parties must later compare outcomes, which is classical communication.
Your GHZ/cat-state example illustrates exactly this point. The phase
exp(2πi
∑
j
x
j
2
n
)
exp
(
2
𝜋
𝑖
∑
𝑗
𝑥
𝑗
2
𝑛
)
is encoded globally. After Hadamards and measurements, each party obtains a local bit (b_j). But no single party can read
(
∑
j
x
j
)
(
∑
𝑗
𝑥
𝑗
)
from its own bit. The useful information is in the parity
⨁
j
b
j
,
⨁
𝑗
𝑏
𝑗
,
and computing that parity requires the parties to communicate their outcomes, or to send them to some referee.
So entanglement can sometimes reduce the number of communicated bits, or increase the success probability of a no-communication nonlocal game. It cannot make arbitrary distributed computation or belief synchronization message-free.
Therefore the Medium claim is true only in the sense: pre-shared entanglement + local measurements = nonclassical correlated actions
It is false in the stronger sense: one agent observes new information = another agent learns it without communication
The latter would violate no-signalling. For AI-agent coordination, entanglement could at most act as a special pre-shared correlation resource for restricted tasks. It cannot replace message passing,or communication
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edited May 28 at 17:26
answered May 28 at 17:02
Bram
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Yes, I was indeed aware of the barrier that the no-signalling theorem puts to the medium post. The CHSH game shows that with entanglement two parties can correlate their inputs beyond classical strategies. It is even shown that the probability reached by entanglement for the CHSH game is the highest ever possible (
≈0.85
≈
0.85
- Tsirelson bound). I wonder if there are some similar results in terms of communication complexity, i.e. a lower bound for the ability of entanglement to reduce communication complexity (?) –
deb2014
Commented
May 29 at 7:07
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