Resources

Publications

  • Author(s): Theodore P. Letsou, Dmitry Kazakov, Pawan Ratra, Lorenzo L. Columbo, Massimo Brambilla, Franco Prati, Cristina Rimoldi, Sandro Dal Cin, Nikola Opačak, Henry O. Everitt, Marco Piccardo, Benedikt Schwarz, and Federico Capasso An experiment demonstrates that a chip-scale coupled laser system consisting of a pair of coupled semiconductor ring lasers can exhibit complex optical states impossible to achieve in a single waveguide laser. ...
  • Author(s): Koushik Ghorai, Sunit Das, Harsh Varshney, and Amit Agarwal Stacked bilayer graphene can demonstrate a 2D planar Hall effect due to factors related to Berry curvature, orbital magnetic moments, and broken symmetries. [Phys. Rev. Lett. 134, 026301] Published Mon Jan 13, 2025
  • Author(s): Christian Klos and Raoul-Martin Memmesheimer By incorporating electrical pulses with shapes similar to those of the spikes from biological neurons, researchers improved the ability to train energy-efficient types of neural networks. [Phys. Rev. Lett. 134, 027301] Published Mon Jan 13, 2025
  • Author(s): Julia R. K. Cline, Vera M. Schäfer, Zhijing Niu, Dylan J. Young, Tai Hyun Yoon, and James K. Thompson Continuous loading and transport of ultracold strontium atoms inside a high-finesse cavity is experimentally demonstrated, with implications for continuous cavity QED experiments. [Phys. Rev. Lett. 134, 013403] Published Fri Jan 10, 2025
  • Author(s): Prakruth Adari et al. (SENSEI Collaboration) Using Skipper-CCDs, world-leading constraints are placed on sub-GeV dark matter candidates. [Phys. Rev. Lett. 134, 011804] Published Thu Jan 09, 2025
  • Author(s): Ke Li and Dong Yang Holevo’s conjecture is shown to be true: the reliability function of classical-quantum channels has a general lower bound. [Phys. Rev. Lett. 134, 010802] Published Wed Jan 08, 2025
  • Author(s): Satoshi Sunada, Tomoaki Niiyama, Kazutaka Kanno, Rin Nogami, André Röhm, Takato Awano, and Atsushi Uchida A new training technique could increase the number of physical systems that could serve as AI platforms. [Phys. Rev. Lett. 134, 017301] Published Tue Jan 07, 2025