• Five year anniversary

    To celebrate our 5 year anniversary we present a collection of some of our favourite articles selected by editors and Editorial Board Members. Also, don't forget to cast your vote for our top feature image!

  • Jean-Damien Pillet photo

    Jean-Damien Pillet is an Assistant Professor at Ecole Polytechnique in the Laboratoire de Physique de la Matière Condensée. Jean-Damien is an experimental physicist and one of the PI of the QCMX Lab, where he explores the quantum properties of electronic circuits and matter.

  • Berry and Grieve photos

    Tracy Berry and James Grieve have joined our Editorial Board. Tracy is an experimental high energy particle physicists, with lots of experience on colliders; James's research centres around the practical implementation of quantum communications technologies. We are looking forward to working with them.

  • metrics

    Communications Physics has a 2-year impact factor of 6.497 (2021), a mean decision times of 8 days to first editorial decision and 50 days to first post-review decision (2022).


  • The description of organic semiconductors relies on a series of approximations, resulting in an uncertain and fragmented picture of the charge transport processes. The authors combine numerical and analytical quantum approaches to study three distinct charge transfer regimes and the transitions between them in a consistent picture.

    • Michel Panhans
    • Sebastian Hutsch
    • Frank Ortmann
    ArticleOpen Access
  • Ultrafast spectroscopy allows for the real-time observation of molecular processes and enables a better understanding of the electron dynamics and nuclear evolution that occur during a chemical reaction. Here, the authors study, experimentally and theoretically, the electron localization that occurs on a femtosecond timescale during the dissociation of N2O.

    • Xinning Zhao
    • Ting Xu
    • Dajun Ding
    ArticleOpen Access
  • Realizing quantum conference key agreement is challenging in experiment and unpractical in application because of limited transmission distance caused by channel loss. The authors present here a quantum conference key agreement protocol with spatial multiplexing nature and adaptive operation, which can break limitations on quantum communication over network and thus shed some light on future global quantum network.

    • Chen-Long Li
    • Yao Fu
    • Zeng-Bing Chen
    ArticleOpen Access
  • The generation of entanglement in qubit-oscillator systems is often hindered by low-intensity driving fields, and limited control of qubit-oscillator coupling. The authors design a general method to achieve robust entanglement gates using low-intensity dynamical-decoupling pulses with non-tuneable qubit-oscillator coupling.

    • Iñigo Arrazola
    • Jorge Casanova
    ArticleOpen Access
  • Chimera states of coupled oscillators have been the subject of considerable interest in complex nonlinear systems. The authors experimentally observe chimera states in a photonic spiking neural network of identical neurons with homogeneous interactions, suggesting that the system with high controllability provides a novel platform to researching synchronous phenomena.

    • Tumi Makinwa
    • Kensuke Inaba
    • Hiroki Takesue
    ArticleOpen Access
  • Particle track fitting in dense detectors is crucial for understanding particle kinematics. The authors show how deep learning outperforms traditional Bayesian filtering methods, drastically improving the reconstruction of interacting particles and potentially impacting the design and data exploitation of future particle physics experiments.

    • Saúl Alonso-Monsalve
    • Davide Sgalaberna
    • André Rubbia
    ArticleOpen Access
  • Kerr optical frequency combs are extensively explored for their potential capabilities in fields such optical communication, spectroscopy, and sensing. This work theoretically analyses the role of phase noise in comb generation dynamics through a stochastic approach, which can impact future studies of frequency comb sources.

    • Fengyu Liu
    • Curtis R. Menyuk
    • Yanne K. Chembo
    ArticleOpen Access
  • Quantum machine learning studies the application of concepts and techniques originating in machine learning to quantum devices. In this paper, the authors develop a framework to model quantum extreme learning machines, showing that they can be concisely described via single effective measurements, and provide an explicit characterization of the information that can be exactly retrieved using such protocols.

    • L. Innocenti
    • S. Lorenzo
    • G. M. Palma
    ArticleOpen Access
  • Scaling-up quantum key distribution to large distances, although imperative for realizing a globally secure quantum internet, inevitably suffers from polarization fluctuations. This work demonstrates an alternative approach to resource intensive active polarization tracking in mitigating the said challenge, by optimizing measurement bases at the receiver end.

    • Sourav Chatterjee
    • Kaumudibikash Goswami
    • Urbasi Sinha
    ArticleOpen Access


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