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  • Measuring air temperature is far from a trivial task, as Andrea Merlone, Graziano Coppa and Chiara Musacchio explain.

    • Andrea Merlone
    • Graziano Coppa
    • Chiara Musacchio
    Measure for Measure
  • Computing is central to the enterprise of physics but few undergraduate physics courses include it in their curricula. Here we discuss why and how to integrate computing into physics education.

    • Marcos D. Caballero
    • Tor Ole B. Odden
    Comment
  • Injustices and oppression are pervasive in society, including education. An intersectional, equity-oriented approach can help remove systemic obstacles and improve the experience of marginalized people in physics education through decolonial and critical race lenses.

    • Geraldine L. Cochran
    • Simone Hyater-Adams
    • Ramón S. Barthelemy
    Comment
  • Increasingly, physics graduates take jobs outside academia. Active teaching approaches lead to deeper conceptual understanding and a more varied skill set and are therefore more likely to prepare students for successful careers.

    • Jenaro Guisasola
    • Kristina Zuza
    Comment
  • Encouraging students to take ownership of their learning can improve their outcomes. This Perspective discusses ways to achieve this in the context of physics education and how digital technology can help Gen Z students in particular.

    • Nam-Hwa Kang
    Perspective
  • The concept of temporal mode-locking has been leveraged to study the interplay between laser mode-locking and photonic lattices that exhibit non-Hermitian topological phenomena. The results suggest new opportunities to study nonlinear and non-Hermitian topological physics as well as potential applications to sensing, optical computing and frequency-comb design.

    Research Briefing
  • Excitation of magnons — quanta of spin-waves — in an antiferromagnet can be used for high-speed data processing. The addition and subtraction of two such modes opens up possibilities for magnon-based information transfer in the terahertz spectral region.

    • Brijesh Singh Mehra
    • Dhanvir Singh Rana
    News & Views
  • The Hamiltonian describing a quantum many-body system can be learned using measurements in thermal equilibrium. Now, a learning algorithm applicable to many natural systems has been found that requires exponentially fewer measurements than existing methods.

    • Sitan Chen
    News & Views
  • Quantum computers promise to efficiently predict the structure and behaviour of molecules. This Perspective explores how this could overcome existing challenges in computational drug discovery.

    • Raffaele Santagati
    • Alan Aspuru-Guzik
    • Clemens Utschig-Utschig
    Perspective