RSS Nature Physics
Nature Physics offers news and reviews alongside top-quality research papers in a monthly publication, covering the entire spectrum of physics. Physics addresses the properties and interactions of matter and energy, and plays a key role in the development of a broad range of technologies. To reflect this, Nature Physics covers all areas of pure and applied physics research. The journal focuses on core physics disciplines, but is also open to a broad range of topics whose central theme falls within the bounds of physics.
Feed URL: https://www.nature.com/nphys.rss
Updated: daily
Feed URL: https://www.nature.com/nphys.rss
Updated: daily
- Efficient optimization of deep neural quantum statesNature Physics, Published online: 09 July 2024; doi:10.1038/s41567-024-02567-0 An improved optimization algorithm enables the training of large-scale neural quantum states in which the enormous number of neuron connections capture the intricate complexity of quantum many-body wavefunctions. This advance leads to unprecedented accuracy in paradigmatic quantum models, opening up new avenues for simulating and understanding complex quantum phenomena.
- Nonlinear computation with linear systemsNature Physics, Published online: 09 July 2024; doi:10.1038/s41567-024-02531-y Nonlinearity is crucial for sophisticated tasks in machine learning but is often difficult to engineer outside of electronics. By encoding the inputs in parameters of the system, linear systems can realize efficiently trainable nonlinear computations.
- Fully nonlinear neuromorphic computing with linear wave scatteringNature Physics, Published online: 09 July 2024; doi:10.1038/s41567-024-02534-9 As the energy consumption of neural networks continues to grow, different approaches to deep learning are needed. A neuromorphic method offering nonlinear computation based on linear wave scattering can be implemented using integrated photonics.
- Active hydraulics and odd elasticity of muscle fibresNature Physics, Published online: 08 July 2024; doi:10.1038/s41567-024-02540-x A multiscale model of muscle as a fluid-filled sponge suggests that hydraulics limits rapid contractions and that the mechanical response of muscle is non-reciprocal.
- Constants in disguiseNature Physics, Published online: 08 July 2024; doi:10.1038/s41567-024-02583-0 It has many names and yet no name. The designation of the universal gas constant as R has remained a mystery, as Karen Mudryk recounts.
- Revealing the complex phases of rhombohedral trilayer grapheneNature Physics, Published online: 08 July 2024; doi:10.1038/s41567-024-02561-6 Rhombohedral graphene is an emerging material with a rich correlated-electron phenomenology, including superconductivity. The magnetism of symmetry-broken trilayer graphene has now been explored, revealing important details of the physics and providing a roadmap for broader explorations of rhombohedral graphene.
- A superconducting dual-rail cavity qubit with erasure-detected logical measurementsNature Physics, Published online: 02 July 2024; doi:10.1038/s41567-024-02539-4 Dual-rail encodings of quantum information can be used to detect loss errors, allowing these errors to be treated as erasures. The measurement of dual-rail states with error detection has now been demonstrated in superconducting cavities.
- Sequence-specific interactions determine viscoelasticity and ageing dynamics of protein condensatesNature Physics, Published online: 02 July 2024; doi:10.1038/s41567-024-02558-1 The time-dependent viscoelastic moduli of biomolecular condensates are connected to the functions that the condensates influence in cells. Now sticker and spacer residues in proteins are shown to regulate condensate viscoelasticity and ageing dynamics.
