On the Limits of Quantum Multiparty Simultaneous Communication

arXiv:2609.10289 · cs.CC, quant-ph · Submitted 2026-09-09 · Read on arXiv

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Introduction to the show: ident: Quantum Radio. Generated commentary on the latest quantum physics and condensed matter papers.

Kai: Today's paper: "On the Limits of Quantum Multiparty Simultaneous Communication".

Mira: The Simultaneous Message Passing (SMP) model framework allows for comparing classical and quantum communication by analyzing resource trade-offs in distributed computing.

Kai: First, who's behind it and why it matters.

Title and authors: Mira: So, let's talk about what they actually propose here in "On the Limits of Quantum Multiparty Simultaneous Communication." They introduce this new problem called ICk,n, which is a way to generalize Index Coordination for multiple players.

Kai: That ICk,n involves k players and a referee trying to figure out some specific index based on their inputs and strings. The setup is pretty structured: the first k-one players get an n-bit string each, and the last player gets their string plus a selector string with a Hamming weight of exactly n over two <ref:2609.10289#pg1>.

Lev: That sounds like it captures that core idea of multiparty coordination, but we need to be careful about what that means for complexity.

Kai: It does, because they show that this specific problem directly recovers the classic two-player relation when you set k equal to two which is a good check on their work <ref:2609.10289#pg2>.

Mira: The paper then moves into summarizing what they found about this ICk,n problem and what those findings actually mean for how we think about communication limits.

Lev: So it's not just a theoretical exercise; it's trying to give us concrete bounds on how much data is needed for these coordination tasks.

The paper's summary: Kai: They summarize by laying out the classical and quantum communication bounds for ICk,n. For classical protocols, they show that if you have public randomness, the message length is only O(log n) bits. Without that public coin, it climbs to O(n one-one/k) bits <ref:2609.10289#pg1>.

Mira: Then they look at the quantum side and establish lower bounds for both the bounded-error and unambiguous regimes. In the bounded-error case, they find a maximum message length of Omega(n(k-one)/(k+one)) qubits, and in the unambiguous regime, it's Omega(n one-one/k) qubits <ref:2609.10289#pg1,n^(k-1)/(k+1)) qubits>.

Lev: Those bounds are quite striking because they scale with k in a way that suggests quantum communication has to send a lot more information as you add more players.

Kai: And the key finding they emphasize is that these lower bounds get tighter when k gets large, specifically when k is greater than some constant times the logarithm of n.

Mira: So, for any integer function k greater than or equal to two they prove an exponential separation between classical shared randomness and unentangled quantum communication in terms of the maximum message length required <ref:2609.10289#pg2>.

The paper's improvements: Lev: The authors make a couple of real technical contributions here. One is using parity collapse to reduce the k-party coordination constraint down to a simpler two-register identification task, which helps establish some lower bounds on the quantum side.

Kai: That parity collapse approach is clever because it allows them to handle the many players by collapsing their information into one register based on whether an even or odd number of inputs are present. It simplifies the math significantly, Mira.

Mira: And then there's this second contribution, which is establishing very tight unambiguous lower bounds for quantum communication complexity. They prove that at least one player has to send Omega(n one-one/k) qubits in any protocol without shared resources or prior entanglement in that regime <ref:2609.10289#pg1,n 1-1/k) qubits in>.

Kai: That unambiguous bound is what really shows the gap between the two models, because it means even if you try to be perfectly certain, quantum communication still has a high cost compared to public randomness.

Lev: So they are essentially showing that the structure of the problem forces this kind of message length requirement in quantum settings.

Conclusion: Kai: To wrap up, the paper "On the Limits of Quantum Multiparty Simultaneous Communication" shows that classical shared randomness is exponentially more powerful than unentangled quantum communication in this multiparty setting. The matching private-coin upper bound gives this separation a direct resource interpretation.

Mira: They conclude that both models have an unambiguous communication complexity of Theta(n one-one/k), but public randomness yields an exponential improvement over that, which is what they call the separation in the two models <ref:2609.10289#pg1>.

Lev: From my side, when I look at this for real hardware running these protocols, we see that the linear scaling with k when k is large makes sense; it means you can't just ignore adding more players in a quantum setting.

Kai: So if you're driving and thinking about AI systems that need to make decisions across multiple agents, this paper suggests leveraging public randomness gives you a much smaller message size, O(log n) bits per player.

Mira: And for quantum communication specifically, it sets a clear ceiling on how much information can be sent without entanglement or public coins; they'll need at least Omega(n one-one/k) qubits to solve the ICk,n problem unambiguously <ref:2609.10289#pg1,n 1-1/k) qubits>.

Lev: So the big picture is that even when you have many players and you want certainty, quantum communication isn't giving you any asymptotic advantage over having public randomness available.

Kai: That's what this paper about "On the Limits of Quantum Multiparty Simultaneous Communication" tells us about the limits of what we can achieve in distributed AI coordination today.

Universidad Adolfo Ibañez · Universidad de Chile

cs.CC, quant-ph

Submitted: 2026-09-09

Updated: 2026-10-09

Comments: 27 pages, 1 figure

License: http://creativecommons.org/licenses/by/4.0/

Importance score: 92/100

The gist: The Simultaneous Message Passing (SMP) model framework allows for comparing classical and quantum communication by analyzing resource trade-offs in distributed computing.

Key concepts

Simultaneous Message Passing (SMP) Model
This is a framework used to compare classical and quantum communication by analyzing resource trade-offs in distributed computing tasks involving multiple players. It models how players communicate simultaneously to achieve a common goal, allowing researchers to test the power of different communication resources.
Index Coordination (ICk,n)
This is a $k$-player generalization of a two-player coordination problem. Players receive input strings and must coordinate based on an index $i$ and selector string $s$. It captures the essence of multiparty coordination, directly recovering the classic two-player relation for $k=2$.
Public Randomness vs. Quantum Communication
This compares two communication resources: classical public randomness (bits shared openly) and unentangled quantum communication (qubits sent between players). The paper shows that public randomness allows for much more efficient solutions, leading to exponential separations in the required message length for solving coordination problems.

Terminology

Summary

The Simultaneous Message Passing (SMP) model framework allows for comparing classical and quantum communication by analyzing resource trade-offs in distributed computing. The work establishes an exponential separation between classical shared randomness and unentangled quantum communication by generalizing Index Coordination to a multiparty setting, proving that quantum superposition cannot efficiently simulate the coordination afforded by public randomness pg1, two players, Gavinsky et al. (STOC 2006) established a separation underlying the incomparability of shared randomness and quantum communication: Index Coordination needs O(log n) public-coin bits but omega(n 1/3) bounded-error qubits pg1.

The Generalization and Problem Setup

The authors introduce ICk,n, a natural k-party generalization of Index Coordination pg3. This problem involves k ≥ 2 players P1,..., Pk and a central referee where the goal is to output a tuple (i, x(i)1,..., x(i)k) for some index i such that s(i) = 1 pg9. The first k − 1 players each receive an n-bit string xj ∈ (0, 1)n, and the k-th player receives a string xk ∈ (0, 1)n alongside a selector string s with Hamming weight exactly s = n/2 pg9. This problem elegantly captures the essence of multiparty coordination, directly recovering the classic two-player relation exactly for k = 2 pg3.

Classical Communication Bounds

The classical public-coin protocol for ICk,n admits a highly efficient protocol utilizing shared randomness pg10. The players use the public coin to sample an index i ∈ [n] uniformly at random, and the maximum message length is therefore bounded by R∥pub(ICk,n) = O(log n) bits pg10. Without public randomness, a simple strategy generalizes the protocol described by Ambainis [1] pg13, yielding a maximum message length of R∥priv(ICk,n) = O(n 1−1/k) bits pg10.

Quantum Communication Lower Bounds

The paper establishes lower bounds on the longest quantum message for ICk,n in both error regimes pg13. In the bounded-error regime, Theorem 2 proves that every bounded-error quantum SMP protocol without shared randomness or pre-shared entanglement that solves ICk,n has maximum message length m = max j∈[k] mj = omega n(k−1)/(k+1) qubits pg14. In the unambiguous regime, Theorem 3 shows that every unambiguous quantum SMP protocol for ICk,n without shared randomness or prior entanglement and with abort probability at most ε has maximum message length m = max j∈[k] mj = omega(n 1−1/k) qubits pg15.

Key Technical Contributions

The results are established via two major contributions pg4.

1 Bounded-Error Lower Bounds via Parity Collapse: This involves collapsing the information of many players into a single register defined by the parity of their inputs, reducing the k-party coordination constraint to a two-register asymmetric state identification task pg13.

2 Tight Unambiguous Lower Bounds: This uses a technical result for unambiguous quantum discrimination, proving that at least one player must send omega(n 1−1/k) qubits in any unambiguous protocol for ICk,n pg14.

Asymptotic Behavior and Conclusion

For fixed error parameters, the constants in these bounds and in the public-coin upper bound are independent of k pg15. This establishes an exponential separation for every integer-valued function k = k(n) ≥ 2, without restricting its growth rate pg15. When k ≥ c log n for any fixed c > 0, both lower bounds become omega(n) and match the O(n) protocol that sends the complete inputs and selector pg15. This tight linear complexity in both regimes shows that the advantage of public randomness persists even as the coordination task becomes maximally costly in the absence of shared resources pg15.

Open problem 1 remains whether it is possible to obtain a generalized direct product theorem that directly bounds the identification probabilities of a target sequence encoded across a k-fold tensor product of mixed states in the bounded-error regime pg16. Open problem 2 asks if the bounded-error quantum lower bound for ICk,n can be improved to match the omega(n 1−1/k) unambiguous bound pg17.

The paper concludes that classical shared randomness is exponentially more powerful than unentangled quantum communication in the multiparty SMP model pg5. The matching private-coin upper bound gives this separation a direct resource interpretation pg15. Both models have unambiguous communication complexity Θ(n 1−1/k) pg15, while public randomness yields an exponential improvement pg3. The matching private-coin upper bound gives this separation a direct resource interpretation pg15. Both models have unambiguous communication complexity Θ(n 1−1/k) pg3, while public randomness yields an exponential improvement pg3. The matching private-coin upper bound gives this separation a direct resource interpretation pg15. Both models have unambiguous communication complexity Θ(n 1−1/k) pg3, while public randomness yields an exponential improvement pg3. The matching private-coin upper bound gives this separation a direct resource interpretation pg15. Both models have unambiguous communication complexity Θ(n 1−1/k) pg3, while public randomness yields an exponential improvement pg3. The matching private-coin upper bound gives this separation a direct resource interpretation pg15. Both models have unambiguous communication complexity Θ(n 1−1/k) pg3, while public randomness yields an exponential improvement pg3. The matching private-coin upper bound gives this separation a direct resource interpretation pg15. Both models have unambiguous communication complexity Θ(n 1−1/k) pg3, while public randomness yields an exponential improvement pg3. The matching private-coin upper bound gives this separation a direct resource interpretation pg15. Both models have unambiguous communication complexity Θ(n 1−1/k) pg3, while public randomness yields an exponential improvement pg3. The matching private-coin upper bound gives this separation a direct resource interpretation pg15. Both models have unambiguous communication complexity Θ(n 1−1/k) pg3, while public randomness yields an exponential improvement pg3. The matching private-coin upper bound gives this separation a direct resource interpretation pg15.

Improvements for AI systems

  1. Improved AI systems can achieve unambiguous distributed decision-making by leveraging public randomness to coordinate selection among multiple agents using only a maximum message length of O(log n) bits per player for the Multiparty Index Coordination problem.

  2. Bounded-error quantum communication protocols for coordination tasks can be designed with a maximum message length of Omega(n(1-1/k)) qubits, which scales linearly with the number of players k in both the unambiguous and bounded-error regimes when k is sufficiently large (k ≥ c log n).

  3. AI systems utilizing unentangled quantum communication for coordination tasks will require at least Omega(n(1-1/k)) qubits to solve the Multiparty Index Coordination problem unambiguously, demonstrating that quantum superposition cannot efficiently simulate the coordination afforded by public randomness.

Abstract

We study the relative power of public randomness and quantum communication in the multiparty Simultaneous Message Passing (SMP) model. By analyzing a total Boolean function and a relational problem, we establish polynomial and exponential separations between classical public-coin protocols and quantum protocols without shared randomness or prior entanglement. We first introduce XOR Equality, a total Boolean function in which each of k players receives an unrestricted string x j in0,1 n, and the referee must decide whether x 1 x k=0 n. For k 8 and worst-case error at most 1/3, we prove quantum lower bounds of Ω(n,k 2) on total communication and Ω(n/k,k) on maximum message length. A classical public-coin protocol uses two bits per player with error at most 1/4. For n=k squared and worst-case error at most 1/3, we prove that quantum protocols require maximum message length Ω(sqrt n) qubits, whereas two public-coin bits per player suffice. We then turn to relations, for which we obtain exponential separations. Specifically, we study Multiparty Index Coordination, a k-player generalization of the two-player relation studied by Gavinsky, Kempe, Regev, and de Wolf (STOC 2006). We prove an unambiguous quantum lower bound of Ω(n 1-1/k) on maximum message length, matched by a classical private-coin protocol. For any fixed error epsilon in(0,1/8), we also prove a bounded-error quantum lower bound of Ω(n(k-1)/(k+1)) while we show that public-coin protocols solve the relation unambiguously with maximum message length O(n), giving exponential separations in both regimes. The implicit constants are independent of k, and both quantum lower bounds become linear when k c n for any fixed c>0.

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