Resources

Author(s): Clément Ferise, Philipp del Hougne, Simon Félix, Vincent Pagneux, and Matthieu Davy Reflectionless exceptional points, at which two eigenstates coalesce, have been observed in complex scattering systems. [Phys. Rev. Lett. 128, 203904] Published Fri May 20, 2022

Author(s): Sebastian von Hausegger, Bruno Lévy, and Roya Mohayaee Developments in computer science could allow astrophysicists to reverse the cosmic distribution of matter from today back to any point in the Universe’s history. [Phys. Rev. Lett. 128, 201302] Published Thu May 19, 2022

Author(s): Yosuke Sato, Kento Ueda, Yuusuke Takeshige, Hiroshi Kamata, Kan Li, Lars Samuelson, H. Q. Xu, Sadashige Matsuo, and Seigo Tarucha Enhancement of the supercurrent, induced by a magnetic field in a nanowire, is caused by quasiparticle trapping rather than Majorana fermions. [Phys. Rev. Lett. 128, 207001] Published Thu May 19, 2022

Author(s): Yaoming Chu and Jianming Cai A system-independent relation quantifying the energetic cost of a measurement is derived for quantum metrological protocols. [Phys. Rev. Lett. 128, 200501] Published Wed May 18, 2022

Author(s): Francis-Yan Cyr-Racine, Fei Ge, and Lloyd Knox A discrepancy between different measurements of the Hubble constant could be removed by the existence of an exotic form of dark matter. [Phys. Rev. Lett. 128, 201301] Published Wed May 18, 2022

Author(s): Justin R. Gagnon, Orad Reshef, Daniel H. G. Espinosa, M. Zahirul Alam, Daryl I. Vulis, Erik N. Knall, Jeremy Upham, Yang Li, Ksenia Dolgaleva, Eric Mazur, and Robert W. Boyd Experiments in Dirac-cone metamaterials present the first observation of direction-independent phase matching in a medium where phase matching is relevant for parametric nonlinear optical processes. [Phys. Rev. Lett. 128, 203902] Published Tue May 17, 2022

Author(s): R. Roussel, A. Edelen, D. Ratner, K. Dubey, J. P. Gonzalez-Aguilera, Y. K. Kim, and N. Kuklev A classical model for arbitrary systems exhibiting hysteresis is combined with machine learning techniques to efficiently create models for characterizing hysteresis in accelerator magnets and to improve model-based optimization. [Phys. Rev. Lett. 128, 204801] Published Tue May 17, 2022