aiqbench analysis
This research establishes the fundamental quantum limits for blind joint estimation of group delay and dispersion in photon-starved coherent links, addressing challenges like residual dispersion and turbulent fading. By utilizing multi-output quantum pulse gates with photon-number-resolving detection, the study demonstrates a method to achieve reception performance below the standard quantum limit. These findings are critical for advancing robust quantum communication protocols where channel parameters must be inferred without prior symbol knowledge.
Quantum-Limited Symbol-Blind Channel Estimation for Coherent State Discrimination
arXiv:2607.24644v1 Announce Type: new Abstract: Residual dispersion breaks temporal-mode matching in photon-starved coherent links. For equiprobable $M$-ary PSK coherent states in a known spectral mode, with unknown symbols and carrier phase, we establish the quantum limit for blind joint estimation of group delay and second-order dispersion: after eliminating the common phase, it is $4N_s\mathbf{C}$, set by the covariance of the centered generators alone. A multi-output quantum pulse gate with photon-number-resolving detection locally attains it and supports reception below the standard quantum limit under turbulent fading.
Abstract:Residual dispersion breaks temporal-mode matching in photon-starved coherent links. For equiprobable $M$-ary PSK coherent states in a known spectral mode, with unknown symbols and carrier phase, we establish the quantum limit for blind joint estimation of group delay and second-order dispersion: after eliminating the common phase, it is $4N_s\mathbf{C}$, set by the covariance of the centered generators alone. A multi-output quantum pulse gate with photon-number-resolving detection locally attains it and supports reception below the standard quantum limit under turbulent fading.
Quantum Physics (quant-ph); Signal Processing (eess.SP)
arXiv:2607.24644 [quant-ph]
(or arXiv:2607.24644v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2607.24644 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 177 words
Related coverage
News Archive 2026
Quantum Computing Report · Jul 25, 2026

Frontier AI Risk Report (February–March 2026)
METR · May 19, 2026

Informe de riesgos de la IA de frontera (febrero–marzo de 2026)
METR · May 19, 2026

Frontier Risk Report (February to March 2026)
METR · May 19, 2026