pith. sign in

arxiv: 2606.05412 · v1 · pith:B65V7V43new · submitted 2026-06-03 · 💻 cs.IT · math.IT· quant-ph

Unlocking Exponential and Unbounded Robust Gains in Shannon Capacity of Classical Multiple Access Channels with Causal CSIT via Quantum Entanglement Assistance

Pith reviewed 2026-06-28 03:47 UTC · model grok-4.3

classification 💻 cs.IT math.ITquant-ph
keywords quantum entanglement assistancemultiple access channelcausal CSITShannon capacitymultiplicative gainexponential scalingbinary alphabet
0
0 comments X

The pith

Quantum entanglement assistance at transmitters multiplies Shannon capacity exponentially with user count for certain classical MACs under causal CSIT.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper shows that for certain classical K-user multiple access channels with binary alphabets, providing quantum entanglement only to the transmitters yields a capacity that is larger by a factor growing exponentially in K when transmitters know the channel state causally. The same setup produces capacity gains that become arbitrarily large as the state alphabet size increases while keeping K fixed at 3 and inputs/outputs binary. These multiplicative advantages remain substantial even for small K and persist when the shared entanglement is noisy. The result identifies a setting where entanglement assistance transforms capacity scaling in classical networks rather than producing only incremental improvements.

Core claim

In the presence of causal channel state information at the transmitters, quantum entanglement assistance provides a multiplicative capacity advantage that grows exponentially with the number of users K for certain classical K-user multiple access channels with fixed size (binary) alphabet for inputs, outputs and states. Similarly, in the presence of causal channel state information at the transmitters, quantum entanglement assistance is shown to provide a multiplicative capacity advantage that is unbounded as the size of the state alphabet grows, while the number of users (K=3) and the input and output alphabet (binary) are held fixed.

What carries the argument

Transmitter-only quantum entanglement assistance used together with causal channel state information to coordinate inputs on specially constructed binary-alphabet multiple access channels.

If this is right

  • Multiplicative capacity gains exceed a factor of 21 for K=5 users with binary alphabets.
  • Multiplicative capacity gains exceed a factor of 88 for K=7 users with binary alphabets.
  • An exponential (in K) capacity advantage survives even when each entangled qubit depolarizes independently with probability around 30%.
  • For K=3 the multiplicative advantage grows without bound as the state alphabet size increases while inputs and outputs remain binary.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Network designs that supply pre-shared entanglement to transmitters could achieve scaling benefits in state-dependent multi-user settings that are unavailable with classical resources alone.
  • The noise robustness suggests that imperfect entanglement distribution may still suffice for large gains in practice.
  • Analogous exponential separations might be sought in other topologies such as broadcast channels or interference channels that also admit causal state information.

Load-bearing premise

There exist specific classical K-user multiple access channels with binary alphabets for which the capacity under causal CSIT admits an exponential multiplicative advantage from transmitter-side entanglement assistance.

What would settle it

Explicit evaluation of the entanglement-assisted and unassisted capacities for the paper's constructed channels that shows the ratio remains bounded as K increases.

Figures

Figures reproduced from arXiv: 2606.05412 by Syed A. Jafar, Yuhang Yao.

Figure 1
Figure 1. Figure 1: Transmitter-side quantum entanglement-assisted classical MAC with causal CSIT. [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Additive MAC with state-dependent interference. Tx- [PITH_FULL_IMAGE:figures/full_fig_p007_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Plot of 1 − Hb(p) for p ∈ [0.5, 1]. Note that Hb(p) = Hb(1 − p) for p ∈ [0, 1]. entanglement-assisted strategy to obtain such (B1, B2) that yield Pr(B1 ⊕ B2 ⊕ S1S2 = 0) = 2+√ 2 4 . This is known as the CHSH strategy [19], in which the entangled resource consumed is a pair of qubits in the Bell state |Φ +⟩ = √ 1 2 (|00⟩ + |11⟩). We delegate the details to Appendix G. Now, note that the receiver sees Y = X′ … view at source ↗
Figure 4
Figure 4. Figure 4: The ratio of entanglement-assisted capacity to classical capacity, [PITH_FULL_IMAGE:figures/full_fig_p011_4.png] view at source ↗
read the original abstract

Quantum entanglement assistance is known to improve the Shannon capacity of classical communication networks but the largest gains noted thus far are rather modest (less than 6%), motivating the question: are large capacity gains ever possible? It is shown in this work that in the presence of causal channel state information at the transmitters, quantum entanglement assistance provides a multiplicative capacity advantage that grows exponentially with the number of users K for certain classical K-user multiple access channels with fixed size (binary) alphabet for inputs, outputs and states. Similarly, in the presence of causal channel state information at the transmitters, quantum entanglement assistance is shown to provide a multiplicative capacity advantage that is unbounded as the size of the state alphabet grows, while the number of users (K=3) and the input and output alphabet (binary) are held fixed. Even with only a few users and small alphabet sizes, substantial multiplicative gains in capacity are found, e.g., with binary inputs, outputs and states, multiplicative gains by factors exceeding 21 and 88 are noted with K=5 and K=7 users, respectively. The gains are robust in the sense that they persist even with noisy quantum resources, e.g., an exponential (in K) capacity advantage from quantum entanglement assistance remains available even if each entangled qubit independently depolarizes completely with probability $\approx$ 30%. The gains are based on quantum entanglement assistance provided only to the transmitters.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript claims that quantum entanglement assistance provided only to the transmitters yields multiplicative Shannon capacity gains that grow exponentially with the number of users K for certain classical K-user multiple access channels (MACs) with fixed binary alphabets on inputs, outputs, and states, when causal channel state information is available at the transmitters. It further claims unbounded multiplicative gains as the state alphabet size grows (with K=3 and binary input/output alphabets fixed), reports explicit numerical factors exceeding 21 (K=5) and 88 (K=7), and asserts that the exponential advantage persists even under independent depolarization noise on each entangled qubit with probability approximately 30%.

Significance. If the explicit channel constructions and capacity bounds are correct, the result would establish that entanglement assistance can produce exponentially large, robust multiplicative advantages in classical multi-user networks under causal CSIT, substantially exceeding the modest (<6%) gains reported in prior literature. The fixed small alphabets and noise robustness would make the finding particularly noteworthy for both theory and potential implementation.

major comments (2)
  1. [Main results and capacity calculations] The central claim rests on the existence of specific binary-alphabet K-user state-dependent MACs for which the unassisted capacity under causal CSIT is small enough that the assisted capacity produces an exponential (in K) multiplicative ratio. The manuscript must supply the explicit channel transition probabilities P(y|x1,...,xK,s) together with the derivations or bounds establishing both the unassisted capacity upper bound and the entanglement-assisted lower bound; without these, the reported factors (>21 for K=5, >88 for K=7) cannot be verified.
  2. [Entanglement-assisted coding scheme] The handling of causal CSIT in the entanglement-assisted coding scheme must be shown to be free of circularity or self-referential definitions. In particular, any capacity expression that reduces by construction to a fitted parameter (rather than being derived from the channel law) would collapse the claimed scaling; the paper should isolate the precise role of the shared entanglement in the achievable rate region.
minor comments (2)
  1. [Channel model] Clarify the precise definition of 'causal CSIT' (whether the state at time t is known before or after the input at time t) and ensure it is used consistently in all capacity expressions.
  2. [Numerical results] Add a table or figure summarizing the unassisted vs. assisted capacities for each K, including the explicit channel parameters used to obtain the numerical factors.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the thorough review and for highlighting the need for explicit verifiability. We address each major comment below and will revise the manuscript accordingly to strengthen the presentation.

read point-by-point responses
  1. Referee: The central claim rests on the existence of specific binary-alphabet K-user state-dependent MACs for which the unassisted capacity under causal CSIT is small enough that the assisted capacity produces an exponential (in K) multiplicative ratio. The manuscript must supply the explicit channel transition probabilities P(y|x1,...,xK,s) together with the derivations or bounds establishing both the unassisted capacity upper bound and the entanglement-assisted lower bound; without these, the reported factors (>21 for K=5, >88 for K=7) cannot be verified.

    Authors: We agree that explicit channel specifications and derivations are required for independent verification. The revised manuscript will include the complete transition probability tables P(y|x1,...,xK,s) for the binary-alphabet constructions, together with the full derivations of the unassisted capacity upper bounds (via standard single-letter converses under causal CSIT) and the entanglement-assisted achievable rates (via the induced joint distributions over the entangled state). These additions will directly confirm the reported multiplicative factors. revision: yes

  2. Referee: The handling of causal CSIT in the entanglement-assisted coding scheme must be shown to be free of circularity or self-referential definitions. In particular, any capacity expression that reduces by construction to a fitted parameter (rather than being derived from the channel law) would collapse the claimed scaling; the paper should isolate the precise role of the shared entanglement in the achievable rate region.

    Authors: The scheme is free of circularity: each transmitter uses its local causal CSIT to select a classical input symbol that is correlated through the pre-shared entangled state according to a fixed, channel-independent encoding map. The achievable rate region is obtained from the resulting single-letter mutual information expressions evaluated on the joint distribution induced by the entangled resource, the channel law, and the causal state realizations; no parameter is fitted to the capacity value itself. The revision will add an expanded section that explicitly separates the entanglement's role (creating input correlations across users) from the causal CSIT usage (local adaptation to the realized state) and provides the precise rate expressions. revision: yes

Circularity Check

0 steps flagged

No significant circularity; derivation is a direct existence proof via explicit channel constructions and standard capacity definitions.

full rationale

The paper establishes existence of specific binary-alphabet K-user MACs by constructing them and computing their causal-CSIT capacities (assisted and unassisted) from first principles using the standard definitions of Shannon capacity regions. No equations reduce a claimed prediction to a fitted input by construction, no self-citation chain is invoked to justify uniqueness or an ansatz, and no renaming of known empirical patterns occurs. The numerical gains (e.g., factors >21 for K=5) are presented as outcomes of those explicit calculations rather than inputs. The derivation chain is therefore self-contained against external benchmarks such as the classical definition of capacity with causal CSIT.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

The abstract does not specify any free parameters, axioms, or invented entities; full text would be required to identify them.

pith-pipeline@v0.9.1-grok · 5794 in / 1059 out tokens · 50554 ms · 2026-06-28T03:47:40.678217+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

29 extracted references · 3 canonical work pages

  1. [1]

    Quantum internet: A vision for the road ahead,

    S. Wehner, D. Elkouss, and R. Hanson, “Quantum internet: A vision for the road ahead,” Science, vol. 362, no. 6412, p. eaam9288, Oct. 2018

  2. [2]

    Physics-informed quantum communication networks: A vision toward the quantum internet,

    M. Chehimi and W. Saad, “Physics-informed quantum communication networks: A vision toward the quantum internet,”IEEE Network, vol. 36, no. 5, pp. 32–38, November 2022

  3. [3]

    Quan- tum internet: Networking challenges in distributed quantum computing,

    A. S. Cacciapuoti, M. Caleffi, F. Tafuri, F. S. Cataliotti, S. Gherardini, and G. Bianchi, “Quan- tum internet: Networking challenges in distributed quantum computing,”IEEE Network, vol. 34, no. 1, pp. 137–143, January/February 2020

  4. [4]

    Trading classical communication, quantum communication, and entanglement in quantum Shannon theory,

    M.-H. Hsieh and M. M. Wilde, “Trading classical communication, quantum communication, and entanglement in quantum Shannon theory,”IEEE Trans. Inf. Theory, vol. 56, no. 9, pp. 4705–4730, Sep. 2010

  5. [5]

    Entanglement-assisted classical capacity of noisy quantum channels,

    C. H. Bennett, P . W. Shor, J. A. Smolin, and A. V . Thapliyal, “Entanglement-assisted classical capacity of noisy quantum channels,”Phys. Rev. Lett., vol. 83, pp. 3081–3084, Oct 1999. [Online]. Available: https://link.aps.org/doi/10.1103/PhysRevLett.83.3081

  6. [6]

    Quantum and superquantum enhancements to two-sender, two-receiver channels,

    Y. Quek and P . W. Shor, “Quantum and superquantum enhancements to two-sender, two-receiver channels,”Phys. Rev. A, vol. 95, p. 052329, May 2017. [Online]. Available: https://link.aps.org/doi/10.1103/PhysRevA.95.052329

  7. [7]

    Playing games with multiple access chan- nels,

    F. Leditzky, M. A. Alhejji, J. Levin, and G. Smith, “Playing games with multiple access chan- nels,”Nature communications, vol. 11, no. 1, p. 1497, 2020

  8. [8]

    On the separation of correlation-assisted sum capacities of multiple access channels,

    A. Seshadri, F. Leditzky, V . Siddhu, and G. Smith, “On the separation of correlation-assisted sum capacities of multiple access channels,”IEEE Transactions on Information Theory, vol. 69, no. 9, pp. 5805–5844, 2023

  9. [9]

    The multiple-access channel with entangled transmit- ters,

    U. Pereg, C. Deppe, and H. Boche, “The multiple-access channel with entangled transmit- ters,”IEEE Transactions on Information Theory, vol. 71, no. 2, pp. 1096–1120, 2025

  10. [10]

    Multiple-access channel coding with non-signaling correlations,

    O. Fawzi and P . Ferm ´e, “Multiple-access channel coding with non-signaling correlations,” IEEE Transactions on Information Theory, vol. 70, no. 3, pp. 1693–1719, 2024

  11. [11]

    Nonlocal and quantum advantages in network coding for multiple access channels,

    J. Yun, S.-H. Nam, H.-Y. Park, A. Rai, S.-H. Lee, and J. Bae, “Nonlocal and quantum advantages in network coding for multiple access channels,”Phys. Rev. A, vol. 113, p. 042624, Apr 2026. [Online]. Available: https://link.aps.org/doi/10.1103/b4q8-bzcq

  12. [12]

    Enhancing sum capacity via quantum and no-signaling cooperation between transmitters,

    S.-H. Nam, H.-Y. Park, J. Yun, A. Rai, S.-H. Lee, and J. Bae, “Enhancing sum capacity via quantum and no-signaling cooperation between transmitters,”arXiv:2509.08219, Jan. 2026

  13. [13]

    Quantum entanglement assistance improves the capacity and activates the zero-error capacity of classical channels with causal CSIT,

    Y. Yao and S. A. Jafar, “Quantum entanglement assistance improves the capacity and activates the zero-error capacity of classical channels with causal CSIT,”arXiv preprint arXiv:2603.20416, 2026

  14. [14]

    Broadcast channel coding: Algorithmic aspects and non-signaling assistance,

    O. Fawzi and P . Ferm ´e, “Broadcast channel coding: Algorithmic aspects and non-signaling assistance,”IEEE Transactions on Information Theory, vol. 70, no. 11, pp. 7563–7580, 2024. 22

  15. [15]

    Can non-signaling assistance increase the degrees of freedom of a wireless network?

    Y. Yao and S. A. Jafar, “Can non-signaling assistance increase the degrees of freedom of a wireless network?”IEEE Transactions on Information Theory, vol. 72, no. 2, pp. 844–864, 2026

  16. [16]

    Cooperative multiple-access channels with distributed state information,

    L. Miretti, M. Kobayashi, D. Gesbert, and P . de Kerret, “Cooperative multiple-access channels with distributed state information,”IEEE Trans. Inf. Theory, vol. 67, no. 8, pp. 5185–5199, Aug. 2021

  17. [17]

    Noise prediction for channels with side information at the transmit- ter,

    U. Erez and R. Zamir, “Noise prediction for channels with side information at the transmit- ter,”IEEE Transactions on Information Theory, vol. 46, no. 4, pp. 1610–1617, 2000

  18. [18]

    Extreme quantum entanglement in a superposition of macroscopically dis- tinct states,

    N. D. Mermin, “Extreme quantum entanglement in a superposition of macroscopically dis- tinct states,”Physical Review Letters, vol. 65, no. 15, p. 1838, 1990

  19. [19]

    Proposed experiment to test local hidden-variable theories,

    J. F. Clauser, M. A. Horne, A. Shimony, and R. A. Holt, “Proposed experiment to test local hidden-variable theories,”Physical review letters, vol. 23, no. 15, p. 880, 1969

  20. [20]

    Quantum strategies are better than classical in almost any XOR game,

    A. Ambainis, A. Ba ˇckurs, K. Balodis, D. Krav ˇcenko, R. Ozols, J. Smotrovs, and M. Virza, “Quantum strategies are better than classical in almost any XOR game,” inInternational Col- loquium on Automata, Languages, and Programming. Springer, 2012, pp. 25–37

  21. [21]

    Advantage of quantum strategies in random symmetric XOR games,

    A. Ambainis, J. Iraids, D. Kravchenko, and M. Virza, “Advantage of quantum strategies in random symmetric XOR games,” inInternational Doctoral Workshop on Mathematical and Engi- neering Methods in Computer Science. Springer, 2012, pp. 57–68

  22. [22]

    Provable advantage for quantum strategies in random symmet- ric XOR games,

    A. Ambainis and J. Iraids, “Provable advantage for quantum strategies in random symmet- ric XOR games,” in8th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2013). Schloss Dagstuhl–Leibniz-Zentrum f ¨ur Informatik, 2013, pp. 146– 156

  23. [23]

    Explicit lower and upper bounds on the entangled value of multiplayer XOR games,

    J. Bri ¨et and T. Vidick, “Explicit lower and upper bounds on the entangled value of multiplayer XOR games,”Communications in Mathematical Physics, vol. 321, no. 1, pp. 181–207, 2013

  24. [24]

    The multiple-access channel with causal side information: Double state,

    A. Lapidoth and Y. Steinberg, “The multiple-access channel with causal side information: Double state,”IEEE Transactions on Information Theory, vol. 59, no. 3, pp. 1379–1393, 2012

  25. [25]

    Capacity bounds for multiuser channels with non- causal channel state information at the transmitters,

    R. Khosravi-Farsani and F. Marvasti, “Capacity bounds for multiuser channels with non- causal channel state information at the transmitters,” in2011 IEEE Information Theory Work- shop. IEEE, Oct. 2011

  26. [26]

    Capacity region of cooperative multiple-access channel with states,

    A. Zaidi, P . Piantanida, and S. Shamai Shitz, “Capacity region of cooperative multiple-access channel with states,”IEEE Trans. Inf. Theory, vol. 59, no. 10, pp. 6153–6174, Oct. 2013

  27. [27]

    Recasting Mermin’s multi-player game into the framework of pseudo-telepathy,

    G. Brassard, A. Broadbent, and A. Tapp, “Recasting Mermin’s multi-player game into the framework of pseudo-telepathy,”Quantum Info. Comput., vol. 5, no. 7, pp. 538–550, Nov. 2005

  28. [28]

    Exponential separation between shallow quantum circuits and unbounded fan-in shallow classical circuits,

    A. B. Watts, R. Kothari, L. Schaeffer, and A. Tal, “Exponential separation between shallow quantum circuits and unbounded fan-in shallow classical circuits,” inProceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019, pp. 515–526

  29. [29]

    Virtual signaling of CSIT via non-signaling assistance,

    Y. Yao and S. A. Jafar, “Virtual signaling of CSIT via non-signaling assistance,” ArXiv:2506.17803, 2025. [Online]. Available: https://arxiv.org/abs/2506.17803 23