Nature 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.
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Updated: daily
- Fully nonlinear neuromorphic computing with linear wave scattering
- 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.
- 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.
- 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.
- 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.
- 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.
- Dissipative time crystal in a strongly interacting Rydberg gasNature Physics, Published online: 02 July 2024; doi:10.1038/s41567-024-02542-9 The observation of continuous time crystals has been hindered by atom loss in the ultracold regime. Long-range time-crystalline order has now been demonstrated in a dissipative Rydberg gas at room temperature.
- Unravelling quantum dynamics using flow equationsNature Physics, Published online: 02 July 2024; doi:10.1038/s41567-024-02549-2 The complexity of a many-body quantum state grows exponentially with system size, hindering numerical studies. A unitary flow-based method now enables accurate estimates of long-term properties of one- and two-dimensional quantum systems.
